
    sg                    ^
  d Z ddlmZ ddlmZ ddlmZmZmZm	Z	m
Z
mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ  ej6                  e      Zi dg ddg d	g d
g ddgdg dg dg dg ddg ddg dg dg dg dg dg ddgi dddgdg d g d!d"d#gd$g d%g d&g d'd(g d)d*gd+g d,d-g d.d/gd0g d1d2g d3d4d5d6gd7g d8d9d:gi d;g d<d=d>d?gd@g dAg dBdCgdDg dEdFdGgdHg dIdJdKgdLdMgdNdOgdPdQdRgdSdTgdUdVdWgdXdYdZgd[g d\d]g d^i d_d`gdag dbdcdddegdfdggdhdigdjdkdlgdmg dndog dpdqg drdsg dtdug dvdwg dxdyg dzd{d|gd}d~gddgdddgi ddgddgdg dddgdddgddgdddgdg dddgdddgddgddgddgddgdg dg ddgi ddgddgdddgddgdg ddg dddgddgddgddgddgddgdddgdddgdg dǢddgddgi dg d͢dg dϢddgddgddgddgddgdg ddgddgdddgdg dddgdg dddgddgdddgi dddgddgddgdddgddgddgdg ddd dgdg dddgddgdd	d
gdddgddgddgddgdg di ddgddgdddgddgdd gd!d"gd#d$gd%g d&d'gd(d)gd*d+gd,d-d.gd/g d0d1d2gd3d4gd5d6gd7d8gi d9d:gd;d<gd=d>gd?d@gdAdBgdCdDgdEg dFdGg dHdIdJgdKdLgdMdNdOgdPdQdRgdSg dTdUg dVdWdXgdYdZd[gd\d]gi d^d_gd`dagdbdcddgdedfdggdhdidjgdkdldmgdndodpgdqdrgdsdtdugdvdwdxgdydzgd{d|gd}d~gddgdg dddgdddgi ddgdg ddgdg dg dddgddgddgdddgdg dddgddgddgddgddgdddgdddgi ddgddgddgdddgdddgdddgddgddgdg ddgddgdÐdgdŐdgdǐdgdɐdgdːd̐dgdΐdϐdgi dѐdҐdgdԐdgdg dעdg d٢dڐdgdܐdgdސdgdddgddgdddgddgddgddgddgddgdg ddddgi ddgddgddgdddgd dgddgdddgdg dd	d
gdddgdg dddgddgddgddgddgdddgi ddgdd d!gd"d#d$gd%d&d'gd(d)gd*g d+d,g d-d.d/gd0d1gd2d3gd4d5gd6d7gd8g d9d:d;gd<g d=d>g d?d@dAdBgi dCdDdEgdFdGgdHdIgdJdKgdLdMgdNdOgdPdQgdRdSgdTdUgdVdWgdXdYgdZd[d\gd]d^gd_d`gdadbgdcdddegdfdgdhgi didjdkgdldmgdndogdpdqgdrdsdtgdudvgdwdxgdydzgd{g d|d}d~gddgdddgddgddgddgddgddgi ddgdddgddgdg ddddgddgddgddgddgdg ddg dddgdddgddgddgddgddgi ddgddgddgddgdg dg dddgdg dg ddgdg dŢdg dǢdg dɢdʐdgd̐dgdΐdgdg dѢdg dӢiZ	  e       s e       	 ed.   j?                  dԫ       ed@   j?                  dի       edA   j?                  d֫       edF   j?                  d׫       edL   j?                  dث       edh   j?                  d٫       edy   j?                  dګ       ed   j?                  d۫       ed   j?                  dܫ       ed   j?                  dݫ       ed   j?                  dޫ       ed   j?                  d߫       ed   j?                  d       ed%   j?                  d       edW   j?                  d       ed`   j?                  d       edy   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed,   j?                  d       ed8   j?                  d       ed<   j?                  d       ed>   j?                  d       edV   j?                  d       edi   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       	  e       s e       	 ed.   j?                  d       ed=   j?                  d       ed@   j?                  d       edD   j?                  d       edL   j?                  d       edU   j?                  d       edX   j?                  d        ed_   j?                  d       edh   j?                  d       eds   j?                  d       edy   j?                  d       edz   j?                  d       ed}   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d	       ed   j?                  d
       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   jG                  g d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed!   j?                  d       ed#   j?                  d       ed1   j?                  d       edP   j?                  d       edS   j?                  d       edU   j?                  d       edW   j?                  d       edY   j?                  d       ed`   j?                  d       edn   j?                  d       edv   j?                  d       ed   j?                  d       ed   j?                  d        ed   j?                  d!       ed   j?                  d"       ed   j?                  d#       ed   j?                  d$       ed   j?                  d%       ed   j?                  d&       ed   j?                  d'       ed   j?                  d(       ed   j?                  d)       ed   j?                  d*       ed   j?                  d+       ed   j?                  d,       ed   j?                  d-       ed"   j?                  d.       ed,   j?                  d/       ed@   j?                  d0       edC   j?                  d1       edV   j?                  d2       edi   j?                  d3       ed   j?                  d4       ed   j?                  d5       ed   j?                  d6       ed   j?                  d7       d8ged9<   	  e       r e       s e       	 d<d=ged=<   	  e       s e       	 edD   j?                  d@       	  e       s e       	 ed   j?                  dC       	  e       s e       	 dFgedG<   dHgedI<   dJgedK<   edB   jG                  dLdMg       edS   jG                  dNg       ed[   jG                  dOg       eda   j?                  dP       edm   j?                  dQ       edo   jG                  dRdSg       eds   jG                  dTdUg       ed   jG                  dVdWg       ed   jG                  dXdYg       ed   jG                  dZd[g       ed   jG                  d\d]g       ed   j?                  d^       ed   j?                  d_       ed   j?                  d`       ed   jG                  dag       ed   jG                  dbdcg       ed   jG                  dddeg       ed   jG                  dfdgg       ed   j?                  dh       ed   jG                  g di       ed   jG                  djdkg       ed   jG                  dldmg       ed,   jG                  dng       ed9   jG                  dog       ed;   jG                  dpg       ed=   jG                  dqg       edA   jG                  drdsg       edG   jG                  dtg       edS   jG                  dudvg       edU   jG                  dwdxg       ed\   jG                  dydzg       ede   j?                  d{       edh   j?                  d|       edk   jG                  d}d~g       ed   j?                  d       ed   jG                  ddg       ed   jG                  dg       ed   jG                  ddg       ed   jG                  ddg       ed   jG                  ddg       ed   j?                  d       ed   jG                  dg       ed   j?                  d       ed   jG                  ddg       ed   jG                  ddg       ed   jG                  dg       ed   j?                  d       ed   jG                  ddg       ed    jG                  dg       ed   jG                  dg       ed%   jG                  dg       ed*   jG                  dg       ed0   jG                  ddg       ed2   jG                  dg       ed8   j?                  d       edJ   jG                  dg       edP   j?                  d       edf   j?                  d       edw   j?                  d       edy   jG                  ddg       ed{   jG                  g d       ed   jG                  ddg       ed   j?                  d       ed   j?                  d       ed   jG                  ddg       ed   j?                  d       	  e       s e       	 dged<   ed   j?                  d       ed   j?                  d       ed   j?                  d       ed%   j?                  d       ed   j?                  d       	  e       s e       	 g ed<   dged<   dged<   g ded<   g ded<   ed    jG                  g d       ddged<   g ed<   g ed<   dged<   dged<   ed.   jG                  g dȢ       ed0   jG                  g dɢ       ed2   jG                  g dʢ       ed4   jG                  g dˢ       ed7   jG                  g d̢       ed9   jG                  g d͢       ed;   jG                  g d΢       ed=   jG                  g dϢ       edB   jG                  g dТ       edD   jG                  g dѢ       edF   jG                  g dҢ       edL   jG                  g dӢ       edN   jG                  g dԢ       edP   jG                  g dբ       edS   jG                  g d֢       edU   jG                  g dע       edX   jG                  g dآ       ed[   jG                  g d٢       ed]   jG                  g dڢ       ed_   jG                  g dۢ       eda   jG                  g dܢ       edc   jG                  g dݢ       edh   jG                  g dޢ       edj   jG                  g dߢ       edm   jG                  g d       edo   jG                  g d       edq   jG                  g d       eds   jG                  g d       edu   jG                  g d       edw   jG                  g d       edz   jG                  g d       ed}   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d        ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  dd	g       ed   jG                  d
dg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   j?                  d       ed   jG                  g d        ed   jG                  g d!       ed   jG                  g d"       ed   jG                  g d#       ed   jG                  g d$       ed   jG                  g d%       ed   jG                  g d&       ed   jG                  g d'       ed   jG                  g d(       ed   jG                  g d)       ed   jG                  g d*       ed   jG                  d+d,g       ed   jG                  g d-       ed   jG                  g d.       ed   jG                  g d/       ed   jG                  g d0       ed   jG                  g d1       ed   jG                  g d2       ed   jG                  g d3       ed   jG                  g d4       ed!   jG                  g d5       ed#   jG                  g d6       ed&   jG                  g d7       ed(   jG                  g d8       ed*   jG                  g d9       ed,   jG                  g d:       ed/   jG                  g d;       ed3   jG                  g d<       ed5   jG                  g d=       ed7   jG                  g d>       ed9   jG                  g d?       ed;   jG                  g d@       ed=   jG                  g dA       ed?   jG                  g dB       edA   jG                  g dC       edC   jG                  g dD       edE   jG                  g dE       edG   jG                  g dF       edI   jG                  g dG       edK   jG                  g dH       edM   jG                  g dI       edP   jG                  g dJ       edS   jG                  g dK       edU   jG                  g dL       edY   jG                  g dM       ed\   jG                  g dN       ed^   jG                  g dO       ed`   jG                  g dP       edb   jG                  dQdRg       ede   jG                  dSdTg       edh   jG                  dUdVg       edk   jG                  dWdXg       edn   jG                  g dY       edq   jG                  g dZ       eds   jG                  g d[       edv   jG                  g d\       edy   jG                  g d]       ed{   jG                  g d^       ed}   jG                  g d_       ed   jG                  g d`       ed   jG                  g da       ed   jG                  g db       ed   jG                  g dc       ed   jG                  g dd       ed   jG                  g de       ed   jG                  g df       ed   jG                  dgdhg       ed   jG                  g di       ed   jG                  g dj       ed   jG                  g dk       ed   jG                  g dl       ed   jG                  g dm       ed   jG                  g dn       ed   jG                  g do       ed   jG                  g dp       ed   jG                  g dq       ed   jG                  g dr       ed   jG                  g ds       ed   jG                  g dt       ed   jG                  g du       ed   jG                  g dv       ed   jG                  g dw       ed   jG                  g dx       ed   jG                  g dy       ed   jG                  g dz       ed   jG                  g d{       ed   jG                  g d|       ed   jG                  g d}       ed   jG                  g d~       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed    jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed	   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed"   jG                  g d       ed%   jG                  g d       ed(   jG                  g d       ed*   jG                  ddg       ed,   jG                  g d       ed.   jG                  g d       ed0   jG                  g d       ed2   jG                  g d       ed4   jG                  g d       ed6   jG                  g d       ed8   jG                  g d       ed:   jG                  dg       ed<   jG                  g d       ed>   jG                  g d       ed@   jG                  g d       edC   jG                  g d       edF   jG                  g d       edH   jG                  g d       edJ   jG                  ddg       edL   jG                  g d       edN   jG                  g d       edP   jG                  g d       edR   jG                  g d       edT   jG                  g d       edV   jG                  g d       edX   jG                  g d¢       edZ   jG                  g dâ       ed]   jG                  g dĢ       ed_   jG                  g dŢ       eda   jG                  dg       edc   jG                  dǐdg       edf   jG                  g dɢ       edi   jG                  g dʢ       edl   jG                  g dˢ       edn   jG                  g d̢       edp   jG                  g d͢       edr   jG                  dg       edu   jG                  dϐdg       edw   jG                  g dѢ       edy   jG                  g dҢ       ed{   jG                  g dӢ       ed}   jG                  dԐdg       ed   jG                  dg       ed   jG                  dg       ed   jG                  g dآ       ed   jG                  g d٢       ed   jG                  g dڢ       ed   jG                  g dۢ       ed   jG                  g dܢ       ed   jG                  dݐdg       ed   jG                  dߐdg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       g ded<   g ded<   g ed<   g ed<   dged<   dged<   dged<   	  e       s e       	 g ed<   dged<   dged<   ed    jG                  g d       ddged	<   g ed
<   g ded<   ed.   jG                  g d       ed7   jG                  g d       ed=   jG                  g d       edD   jG                  g d       edU   jG                  g d       edX   jG                  g d       ed[   jG                  g d       edh   jG                  g d       eds   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d        ed   jG                  g d!       ed   jG                  g d"       ed   jG                  g d#       ed   j?                  d$       ed   jG                  g d%       ed   jG                  g d&       ed   jG                  g d'       ed   jG                  g d(       ed&   jG                  g d)       ed/   jG                  g d*       ed5   jG                  g d+       ed9   jG                  g d,       edP   jG                  g d-       edU   jG                  g d.       edY   jG                  g d/       edn   jG                  g d0       edv   jG                  g d1       ed   jG                  g d2       ed   jG                  g d3       ed   jG                  g d4       ed   jG                  g d5       ed   jG                  g d6       ed   jG                  g d7       ed   jG                  g d8       ed   jG                  g d9       ed   jG                  g d:       ed   jG                  g d;       ed   jG                  g d<       ed   jG                  g d=       ed   jG                  g d>       ed   jG                  g d?       ed   jG                  g d@       ed   jG                  g dA       ed"   jG                  g dB       ed*   jG                  dCdDg       ed0   jG                  g dE       ed<   jG                  g dF       edL   jG                  g dG       edN   jG                  g dH       edV   jG                  g dI       edZ   jG                  g dJ       ed   jG                  dKg       ed   jG                  dLg       ed   jG                  g dM       ed   jG                  g dN       ed   jG                  g dO       ed   jG                  g dP       ed   jG                  g dQ       ed   jG                  g dR       ed   jG                  g dS       ed   jG                  g dT       g dUedV<   g edW<   	  e       r e	       r e       r e       r e       s e       	 ed   j?                  dZ       ed   j?                  d[       ed   j?                  d\       	  e       s e       	 ed   j?                  d_       ed   j?                  d`       	  e
       s e       	 ed    jG                  g dc       g edd<   degedf<   ed.   jG                  g dg       ed7   jG                  g dh       ed=   jG                  g di       edB   jG                  g dj       edD   jG                  g dk       edL   jG                  g dl       edU   jG                  g dm       edX   jG                  g dn       ed_   jG                  g do       eds   jG                  g dp       ed   jG                  g dq       ed   jG                  g dr       ed   jG                  g ds       ed   j?                  dt       ed   jG                  g du       ed   jG                  g dv       ed&   jG                  g dw       ed`   jG                  g dx       ed   jG                  g dy       edq   jG                  g dz       ed   jG                  g d{       ed   jG                  g d|       ed   jG                  g d}       ed   jG                  g d~       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed"   jG                  g d       ed:   j?                  d       edV   jG                  g d       ed   j?                  d       ed   jG                  dg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       eCrkddl/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;m<Z<m=Z=m>Z>m?Z? ddl@mAZA ddlBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZPmQZQmRZRmSZSmTZT ddlUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z` ddlambZb ddlcmdZdmeZe dd!lfmgZgmhZhmiZimjZjmkZk ddllmmZm dd'lnmoZompZpmqZqmrZrmsZsmtZtmuZumvZvmwZwmxZx ddlymzZz dd,l{m|Z|m}Z}m~Z~mZmZmZmZ ddlmZ dd1lmZmZmZmZ dd3lmZmZmZmZ ddlmZmZ dd8lmZmZmZmZmZmZmZmZmZmZmZ ddlmZ dd<lmZmZmZmZmZ ddlmZmZ ddlmZ ddElmZmZmZmZ ddlmZ ddIlmZmZmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZmZ ddlmZmZ dd\lmZmZmZmZ dd^lmZmZmZmZ ddlmZ ddblmZmZmZmZ ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddnlmZmZmZ ddplmZmZmZmZ ddrlmZmZmZmZ ddtlmZmZmZmZmZ ddvlmZmZmZmZ ddxlmZmZmZmZm Z mZ ddlmZmZ ddlmZ ddlmZ ddl	m
Z
mZ ddlmZ ddlmZ ddlmZmZ ddlmZmZ ddlmZ ddlmZmZ ddlmZmZmZ ddlm Z  ddl!m"Z"m#Z# ddl$m%Z% ddl&m'Z' ddl(m)Z) ddl*m+Z+ ddl,m-Z- ddl.m/Z/ ddl0m1Z1 ddl2m3Z3m4Z4 ddl5m6Z6 ddl7m8Z8m9Z9m:Z:m;Z; ddl<m=Z=m>Z>m?Z? ddl@mAZA ddlBmCZC ddlDmEZE ddlFmGZG ddlHmIZI ddlJmKZK ddÐlLmMZMmNZN ddĐlOmPZPmQZQ ddǐlRmSZSmTZTmUZU ddŐlVmWZW ddƐlXmYZY dd͐lZm[Z[m\Z\m]Z] ddϐl^m_Z_m`Z`maZa ddǐlbmcZc ddȐldmeZe ddɐlfmgZg ddʐlhmiZi ddːljmkZk dd̐llmmZm dd͐lnmoZo ddΐlpmqZqmrZr ddϐlsmtZtmuZu ddlvmwZwmxZxmyZymzZzm{Z{ ddАl|m}Z} ddѐl~mZ ddҐlmZmZ ddӐlmZmZ ddԐlmZ ddՐlmZ dd֐lmZmZ ddאlmZ ddؐlmZ ddlmZmZmZmZ ddِlmZmZ ddlmZmZmZmZmZ ddڐlmZ ddېlmZ ddܐlmZmZ ddݐlmZmZ ddސlmZ ddߐlmZ ddlmZ ddlmZmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmÐZ ddlĐmŐZ ddlƐmǐZ ddlȐmɐZɐmʐZ dd0lːm̐Z̐m͐Z͐mΐZ ddlϐmАZ ddlѐmҐZ ddlӐmԐZ ddlՐm֐Z ddlאmؐZ ddlِmڐZ ddlېmܐZ ddlݐmސZ ddlߐmZ ddlmZ ddFlmZmZmZmZ ddHlmZmZmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZmZ ddTlmZmZmZmZmZ ddVlmZmZm Z mZmZ ddlmZ ddlmZmZ ddlm	Z	 ddl
mZ ddlmZ ddlmZmZ dd lmZmZ ddlmZmZ ddlmZmZ ddlmZmZ ddlmZ ddlm Z m!Z! ddl"m#Z#m$Z$ ddl%m&Z& ddl'm(Z( dd	l)m*Z* dd
l+m,Z, ddl-m.Z.m/Z/m0Z0m1Z1 ddl2m3Z3 ddl4m5Z5m6Z6 ddl7m8Z8 ddl9m:Z: ddl;m<Z<m=Z=m>Z> ddl?m@Z@ ddlAmBZB ddlCmDZD ddlEmFZFmGZG ddlHmIZImJZJ ddlKmLZL ddlMmNZN ddlOmPZP ddlQmRZR ddlSmTZTmUZU ddlVmWZWmXZX ddlYmZZZ ddl[m\Z\ ddl]m^Z^ ddl_m`Z`maZa ddlbmcZcmdZd ddlemfZfmgZg dd lhmiZi dd!ljmkZk dd"llmmZm dd#lnmoZo dd$lpmqZq dd%lrmsZs dd&ltmuZu dd'lvmwZw dd(lxmyZymzZz dd)l{m|Z|m}Z} dd*l~mZmZ dd+lmZ ddאlmZmZmZmZ ddِlmZmZmZmZ dd,lmZ dd-lmZ dd.lmZ dd/lmZmZ dd0lmZ dd1lmZmZ dd2lmZ dd3lmZ dd4lmZ dd5lmZ dd6lmZ ddlmZmZmZmZ dd7lmZmZ dd8lmZ dd9lmZ dd:lmZ dd;lmZmZ dd<lmZ dd=lmZ dd>lmZmZ ddlmZmZmZ dd?lmZ dd@lÐmĐZĐmŐZ ddlƐmǐZǐmȐZȐmɐZ ddAlʐmːZ ddBl̐m͐Z ddClΐmϐZ ddDlАmѐZ ddElҐmӐZ ddFlԐmՐZՐm֐Z ddGlאmؐZ ddHlِmڐZڐmېZ ddIlܐmݐZݐmސZ ddJlߐmZmZ ddKlmZ dd+lmZmZmZmZmZ dd-lmZmZmZ ddLlmZ ddMlmZ ddNlmZ ddOlmZ ddPlmZ dd9lmZmZmZmZ ddQlmZ dd=lm Z mZmZ dd?lmZmZmZmZ ddRlm	Z	m
Z
 ddSlmZmZ ddTlmZ ddUlmZ ddVlmZ ddWlmZ ddXlmZ ddYlmZ ddZlmZ dd[lmZ dd\lmZ dd]l m!Z! dd^l"m#Z#m$Z$ dd_l%m&Z& dd`l'm(Z( ddal)m*Z* ddbl+m,Z,m-Z- ddcl.m/Z/m0Z0 dddl1m2Z2m3Z3 ddel4m5Z5 ddfl6m7Z7 ddgl8m9Z9 ddhl:m;Z;m<Z< ddil=m>Z> ddjl?m@Z@ ddklAmBZB dd|lCmDZDmEZEmFZFmGZG ddllHmIZI ddmlJmKZK ddnlLmMZMmNZN ddolOmPZP ddplQmRZR ddqlSmTZT ddrlUmVZV ddslWmXZX ddtlYmZZZ ddul[m\Z\m]Z] ddvl^m_Z_ ddl`maZambZbmcZcmdZdmeZe ddwlfmgZgmhZh ddxlimjZj ddylkmlZl ddzlmmnZn dd{lompZp ddlqmrZrmsZsmtZtmuZu ddlvmwZwmxZxmyZymzZz dd|l{m|Z| dd}l}m~Z~mZ dd~lmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddlmZ ddlmZ ddŐlmZmZmZmZmZmZ ddǐlmZmZmÐZÐmĐZĐmŐZŐmƐZƐmǐZ ddɐlȐmɐZɐmʐZʐmːZːm̐Z̐m͐Z ddlΐmϐZ ddlАmѐZ ddlҐmӐZ ddlmԐZԐmՐZՐm֐Z֐mאZאmؐZؐmِZِmڐZڐmېZېmܐZܐmݐZݐmސZސmߐZߐmZmZmZmZmZm
Z
mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddӐlmZmZmZmZmZmZmZmZmZmZmZ 	  e       s e       	 ddlmZ ddlm Z  ddlmZ ddlmZ ddlmZ ddlݐmZ ddlmZ ddlm	Z	 ddl$m
Z
 ddl0mZ ddlfmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddl%mZ ddl+mZ ddl7mZ ddlmZ ddlmZ ddl]mZ ddlmZ ddlmZ ddlmZ ddl̐mZ ddlАmZ ddlm Z  ddlm!Z! ddlm"Z" ddlm#Z# ddlm$Z$ ddl1m%Z% ddl{m&Z& ddlm'Z' ddlm(Z( 	  e       s e       	 ddlm*Z* ddlm+Z+ ddlm,Z, ddlm-Z- ddlm.Z. ddlm/Z/ ddlĐm0Z0 ddlѐm1Z1 ddlݐm2Z2 ddlm3Z3 ddlm4Z4 ddlm5Z5 ddlm6Z6 ddl	m7Z7 ddlm8Z8 ddl!m9Z9 ddl$m:Z: ddlLm;Z; ddÐlOm<Z< ddĐlpm=Z= ddlvm>Z>m?Z?m@Z@ ddŐlmAZA ddƐlmBZB ddǐlmCZC ddȐlmDZD ddɐlmEZE ddʐlmFZF ddːlmGZG dd̐lϐmHZH dd͐lmIZI ddΐlmJZJ ddϐlmKZK ddАlmLZL ddѐlmMZM ddҐlmNZN ddӐlmOZO ddԐl"mPZP ddՐl-mQZQ dd֐l7mRZR ddאlmSZS ddؐlHmTZT ddِlVmUZU ddڐl]mVZV ddېlemWZW ddܐlmXZX ddݐlnmYZY ddސl~mZZZ ddߐlm[Z[ ddlm\Z\ ddl̐m]Z] ddlАm^Z^ ddlԐm_Z_ ddlܐm`Z` ddlmaZa ddlmbZb ddlmcZc ddlmdZd ddl1meZe ddlqmfZf ddl{mgZg ddlmhZh ddlmiZi ddljmkZk 	  e       r e       s e       	 ddlmmnZnmmZm 	  e       s e       	 ddlmpZp 	  e       s e       	 ddlmrZr 	  e       s e       	 ddltmuZu ddlvmwZw ddlxmyZy ddlmzZzm{Z{ ddlm|Z| ddlǐm}Z} ddlӐm~Z~ ddlmZ ddlmZmZ ddlmZmZ ddlmZmZ ddlmZmZ ddl(mZmZ ddl*mZmZ dd l,mZ ddl.mZ ddl^mZ ddldmZ ddljmZmZ ddlsmZmZ ddl|mZmZ ddl~mZ ddilmZmZmZ ddlmZmZ dd	lmZmZ dd
lȐmZ ddlאmZ ddlِmZ ddlېmZ ddlߐmZmZ ddlmZ ddlmZmZ ddlmZm Z  ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddl2mZ ddl4mZmZ ddlEmZ ddlKmZmZ ddlMmZmZ ddlOmZmZ ddlnmZ ddl{mZ ddlmZ ddlmZmZ dd lmZmZ dd!lmZ dd"lmZ dd#lmZmZ dd$lmZ dd%lÐmZ dd&lߐmZ dd'lmÐZ dd(lmĐZĐmŐZ dd)lmƐZ dd*lmǐZ dd+lmȐZ dd,lmɐZ dd-l.mʐZ dd.l?mːZ dd/lAm̐Z̐m͐Z ddlCmEZEmFZFmGZG dd0lQmΐZΐmϐZ dd1lYmАZ dd2l^mѐZ dd3lmҐZҐmӐZ dd4lmԐZ 	  e       s e       	 dd5l֐mאZ dd6l(mؐZ dd7ljmِZ dd8lmڐZ dd9lߐmېZ dd:lQmܐZ 	  e       s e       	 dd;lސmߐZ dd<lmZ ddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddlmZmZmZmZmZmZmZmZmZ ddlfmZmZmZmZm Z mZmZmZmZmZmZmZmZm	Z	m
Z
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Z
 ddlߐmZmZmZmZmZmZmZ ddlmZmZmZmZmZ ddlmZmZmZmZ ddlmZmZmZmZmZmZm Z  ddlm!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z' ddlm(Z(m)Z)m*Z*m+Z+m,Z, ddlm-Z-m.Z.m/Z/m0Z0m1Z1m2Z2 ddlm3Z3m4Z4m5Z5 ddlm6Z6m7Z7m8Z8 ddlm9Z9m:Z:m;Z;m<Z< ddl	m=Z=m>Z>m?Z?m@Z@mAZAmBZBmCZCmDZD ddlmEZEmFZFmGZGmHZH ddlmIZImJZJmKZKmLZL ddlmMZMmNZNmOZO ddlmPZPmQZQmRZRmSZS ddlmTZTmUZUmVZV ddBlmWZWmXZX ddlmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`maZambZbmcZcmdZdmeZemfZfmgZgmhZhmiZimjZj ddlmkZkmlZlmmZm ddl!mnZnmoZompZpmqZqmrZrmsZs ddl$mtZtmuZumvZvmwZwmxZxmyZymzZz ddl&m{Z{m|Z|m}Z}m~Z~ ddl(mZmZmZ ddl*mZmZmZmZmZ ddl,mZmZmZ ddl.mZmZmZmZ ddl0mZmZmZmZmZmZmZ ddl2mZmZmZ ddl5mZmZmZ ddl7mZmZmZmZ ddl<mZmZmZ ddl@mZmZmZmZmZmZmZmZ dd lBmZmZmZ ddlDmZmZmZmZ ddlFmZmZmZmZmZmZmZmZmZ ddlHmZmZmZmZ ddlJmZmZmZmZmZmÐZÐmĐZĐmŐZŐmƐZƐmǐZ ddlLmȐZȐmɐZɐmʐZʐmːZːm̐Z̐m͐Z͐mΐZΐmϐZ ddClOmАZАmѐZ ddDlRmҐZҐmӐZ ddElXmԐZԐmՐZ ddlZm֐Z֐mאZאmؐZؐmِZِmڐZڐmېZ ddl^mܐZܐmݐZݐmސZސmߐZ ddlbmZmZmZ ddldmZmZmZ ddlfmZmZmZmZmZmZ ddFlhmZmZ ddljmZmZmZmZ ddllmZmZmZmZ ddlnmZmZmZmZ ddlpmZmZmZmZmZmZm Z  ddGlsmZmZ ddlvmZmZmZmZmZmZm	Z	 ddl|m
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ḽ Y _w xY w# e$ r ddlz Y w xY w# e$ r ddl~ Y w xY w# e$ r ddl Y w xY w# e$ r ddlW Y Ww xY w(|  z4.47.1    )TYPE_CHECKING   )dependency_versions_check)OptionalDependencyNotAvailable_LazyModuleis_bitsandbytes_availableis_essentia_availableis_flax_availableis_g2p_en_availableis_keras_nlp_availableis_librosa_availableis_pretty_midi_availableis_scipy_availableis_sentencepiece_availableis_speech_availableis_tensorflow_text_availableis_tf_availableis_timm_availableis_tokenizers_availableis_torch_availableis_torchaudio_availableis_torchvision_availableis_vision_availableloggingagents)Agent	CodeAgentHfApiEngineManagedAgentPipelineTool
ReactAgentReactCodeAgentReactJsonAgentToolToolboxToolCollectionTransformersEnginelaunch_gradio_demo	load_toolstream_to_gradiotoolaudio_utils	benchmarkcommandsconfiguration_utilsPretrainedConfigconvert_graph_to_onnx+convert_slow_tokenizers_checkpoints_to_fast)convert_tf_hub_seq_to_seq_bert_to_pytorchdata)DataProcessorInputExampleInputFeatures%SingleSentenceClassificationProcessorSquadExampleSquadFeaturesSquadV1ProcessorSquadV2Processorglue_compute_metrics!glue_convert_examples_to_featuresglue_output_modesglue_processorsglue_tasks_num_labels"squad_convert_examples_to_featuresxnli_compute_metricsxnli_output_modesxnli_processorsxnli_tasks_num_labelszdata.data_collator)DataCollatorDataCollatorForLanguageModeling*DataCollatorForPermutationLanguageModelingDataCollatorForSeq2SeqDataCollatorForSOP"DataCollatorForTokenClassificationDataCollatorForWholeWordMaskDataCollatorWithFlatteningDataCollatorWithPaddingDefaultDataCollatordefault_data_collatorzdata.metricszdata.processorsdebug_utilsr   dependency_versions_tabledynamic_module_utils!feature_extraction_sequence_utilsSequenceFeatureExtractorfeature_extraction_utilsBatchFeatureFeatureExtractionMixin
file_utils
generation)CompileConfigGenerationConfigTextIteratorStreamerTextStreamerWatermarkingConfighf_argparserHfArgumentParserhyperparameter_searchimage_transformsintegrations)
is_clearml_availableis_comet_availableis_dvclive_availableis_neptune_availableis_optuna_availableis_ray_availableis_ray_tune_availableis_sigopt_availableis_tensorboard_availableis_wandb_availableloss	modelcard	ModelCardmodeling_tf_pytorch_utils)(convert_tf_weight_name_to_pt_weight_name$load_pytorch_checkpoint_in_tf2_modelload_pytorch_model_in_tf2_model!load_pytorch_weights_in_tf2_model$load_tf2_checkpoint_in_pytorch_modelload_tf2_model_in_pytorch_model!load_tf2_weights_in_pytorch_modelmodelszmodels.albertAlbertConfigzmodels.align)AlignConfigAlignProcessorAlignTextConfigAlignVisionConfigzmodels.altclip)AltCLIPConfigAltCLIPProcessorAltCLIPTextConfigAltCLIPVisionConfigz$models.audio_spectrogram_transformer	ASTConfigASTFeatureExtractorzmodels.auto)CONFIG_MAPPINGFEATURE_EXTRACTOR_MAPPINGIMAGE_PROCESSOR_MAPPINGMODEL_NAMES_MAPPINGPROCESSOR_MAPPINGTOKENIZER_MAPPING
AutoConfigAutoFeatureExtractorAutoImageProcessorAutoProcessorAutoTokenizerzmodels.autoformerAutoformerConfigzmodels.bark)BarkCoarseConfig
BarkConfigBarkFineConfigBarkProcessorBarkSemanticConfigzmodels.bart
BartConfigBartTokenizerzmodels.barthezzmodels.bartphozmodels.beit
BeitConfigzmodels.bert)BasicTokenizer
BertConfigBertTokenizerWordpieceTokenizerzmodels.bert_generationBertGenerationConfigzmodels.bert_japanese)BertJapaneseTokenizerCharacterTokenizerMecabTokenizerzmodels.bertweetBertweetTokenizerzmodels.big_birdBigBirdConfigzmodels.bigbird_pegasusBigBirdPegasusConfigzmodels.biogptBioGptConfigBioGptTokenizerz
models.bit	BitConfigzmodels.blenderbotBlenderbotConfigBlenderbotTokenizerzmodels.blenderbot_smallBlenderbotSmallConfigBlenderbotSmallTokenizerzmodels.blip)
BlipConfigBlipProcessorBlipTextConfigBlipVisionConfigzmodels.blip_2)Blip2ConfigBlip2ProcessorBlip2QFormerConfigBlip2VisionConfigzmodels.bloomBloomConfigzmodels.bridgetower)BridgeTowerConfigBridgeTowerProcessorBridgeTowerTextConfigBridgeTowerVisionConfigzmodels.bros
BrosConfigBrosProcessorzmodels.byt5ByT5Tokenizerzmodels.camembertCamembertConfigzmodels.canineCanineConfigCanineTokenizerzmodels.chameleon)ChameleonConfigChameleonProcessorChameleonVQVAEConfigzmodels.chinese_clip)ChineseCLIPConfigChineseCLIPProcessorChineseCLIPTextConfigChineseCLIPVisionConfigzmodels.clap)ClapAudioConfig
ClapConfigClapProcessorClapTextConfigzmodels.clip)
CLIPConfigCLIPProcessorCLIPTextConfigCLIPTokenizerCLIPVisionConfigzmodels.clipseg)CLIPSegConfigCLIPSegProcessorCLIPSegTextConfigCLIPSegVisionConfigzmodels.clvp)
ClvpConfigClvpDecoderConfigClvpEncoderConfigClvpFeatureExtractorClvpProcessorClvpTokenizerzmodels.code_llamazmodels.codegenCodeGenConfigCodeGenTokenizerzmodels.cohereCohereConfigzmodels.conditional_detrConditionalDetrConfigzmodels.convbertConvBertConfigConvBertTokenizerzmodels.convnextConvNextConfigzmodels.convnextv2ConvNextV2Configz
models.cpmzmodels.cpmantCpmAntConfigCpmAntTokenizerzmodels.ctrl
CTRLConfigCTRLTokenizerz
models.cvt	CvtConfigz
models.dac	DacConfigDacFeatureExtractorzmodels.data2vec)Data2VecAudioConfigData2VecTextConfigData2VecVisionConfigzmodels.dbrx
DbrxConfigzmodels.debertaDebertaConfigDebertaTokenizerzmodels.deberta_v2DebertaV2Configzmodels.decision_transformerDecisionTransformerConfigzmodels.deformable_detrDeformableDetrConfigzmodels.deit
DeiTConfigzmodels.deprecatedzmodels.deprecated.bortzmodels.deprecated.deta
DetaConfigz!models.deprecated.efficientformerEfficientFormerConfigzmodels.deprecated.ernie_mErnieMConfigz!models.deprecated.gptsan_japaneseGPTSanJapaneseConfigGPTSanJapaneseTokenizerzmodels.deprecated.graphormerGraphormerConfigzmodels.deprecated.jukebox)JukeboxConfigJukeboxPriorConfigJukeboxTokenizerJukeboxVQVAEConfigzmodels.deprecated.mctct)MCTCTConfigMCTCTFeatureExtractorMCTCTProcessorzmodels.deprecated.mega
MegaConfigzmodels.deprecated.mmbt
MMBTConfigzmodels.deprecated.nat	NatConfigzmodels.deprecated.nezhaNezhaConfigzmodels.deprecated.open_llamaOpenLlamaConfigzmodels.deprecated.qdqbertQDQBertConfigzmodels.deprecated.realmRealmConfigRealmTokenizerzmodels.deprecated.retribertRetriBertConfigRetriBertTokenizerz"models.deprecated.speech_to_text_2)Speech2Text2ConfigSpeech2Text2ProcessorSpeech2Text2Tokenizerzmodels.deprecated.tapexTapexTokenizerz(models.deprecated.trajectory_transformerTrajectoryTransformerConfigzmodels.deprecated.transfo_xl)TransfoXLConfigTransfoXLCorpusTransfoXLTokenizerzmodels.deprecated.tvlt)
TvltConfigTvltFeatureExtractorTvltProcessorzmodels.deprecated.van	VanConfigzmodels.deprecated.vit_hybridViTHybridConfigz models.deprecated.xlm_prophetnetXLMProphetNetConfigzmodels.depth_anythingDepthAnythingConfigzmodels.detr
DetrConfigzmodels.dialogptzmodels.dinatDinatConfigzmodels.dinov2Dinov2Configzmodels.distilbertDistilBertConfigDistilBertTokenizerz
models.ditzmodels.donutDonutProcessorDonutSwinConfigz
models.dpr)	DPRConfigDPRContextEncoderTokenizerDPRQuestionEncoderTokenizerDPRReaderOutputDPRReaderTokenizerz
models.dpt	DPTConfigzmodels.efficientnetEfficientNetConfigzmodels.electraElectraConfigElectraTokenizerzmodels.encodecEncodecConfigEncodecFeatureExtractorzmodels.encoder_decoderEncoderDecoderConfigzmodels.ernieErnieConfigz
models.esm	EsmConfigEsmTokenizerzmodels.falconFalconConfigzmodels.falcon_mambaFalconMambaConfigzmodels.fastspeech2_conformer)FastSpeech2ConformerConfig!FastSpeech2ConformerHifiGanConfigFastSpeech2ConformerTokenizer%FastSpeech2ConformerWithHifiGanConfigzmodels.flaubertFlaubertConfigFlaubertTokenizerzmodels.flava)FlavaConfigFlavaImageCodebookConfigFlavaImageConfigFlavaMultimodalConfigFlavaTextConfigzmodels.fnet
FNetConfigzmodels.focalnetFocalNetConfigzmodels.fsmt
FSMTConfigFSMTTokenizerzmodels.funnelFunnelConfigFunnelTokenizerzmodels.fuyu
FuyuConfigzmodels.gemmaGemmaConfigzmodels.gemma2Gemma2Configz
models.git)	GitConfigGitProcessorGitVisionConfigz
models.glm	GlmConfigzmodels.glpn
GLPNConfigzmodels.gpt2
GPT2ConfigGPT2Tokenizerzmodels.gpt_bigcodeGPTBigCodeConfigzmodels.gpt_neoGPTNeoConfigzmodels.gpt_neoxGPTNeoXConfigzmodels.gpt_neox_japaneseGPTNeoXJapaneseConfigzmodels.gpt_sw3zmodels.gptj
GPTJConfigzmodels.graniteGraniteConfigzmodels.granitemoeGraniteMoeConfigzmodels.grounding_dinoGroundingDinoConfigGroundingDinoProcessorzmodels.groupvit)GroupViTConfigGroupViTTextConfigGroupViTVisionConfigzmodels.herbertHerbertTokenizerzmodels.hieraHieraConfigzmodels.hubertHubertConfigzmodels.ibertIBertConfigzmodels.ideficsIdeficsConfigzmodels.idefics2Idefics2Configzmodels.idefics3Idefics3Configzmodels.ijepaIJepaConfigzmodels.imagegptImageGPTConfigzmodels.informerInformerConfigzmodels.instructblip)InstructBlipConfigInstructBlipProcessorInstructBlipQFormerConfigInstructBlipVisionConfigzmodels.instructblipvideo)InstructBlipVideoConfigInstructBlipVideoProcessorInstructBlipVideoQFormerConfigInstructBlipVideoVisionConfigzmodels.jambaJambaConfigzmodels.jetmoeJetMoeConfigzmodels.kosmos2Kosmos2ConfigKosmos2Processorzmodels.layoutlmLayoutLMConfigLayoutLMTokenizerzmodels.layoutlmv2)LayoutLMv2ConfigLayoutLMv2FeatureExtractorLayoutLMv2ImageProcessorLayoutLMv2ProcessorLayoutLMv2Tokenizerzmodels.layoutlmv3)LayoutLMv3ConfigLayoutLMv3FeatureExtractorLayoutLMv3ImageProcessorLayoutLMv3ProcessorLayoutLMv3Tokenizerzmodels.layoutxlmLayoutXLMProcessorz
models.led	LEDConfigLEDTokenizerzmodels.levitLevitConfigzmodels.lilt
LiltConfigzmodels.llamaLlamaConfigzmodels.llavaLlavaConfigLlavaProcessorzmodels.llava_nextLlavaNextConfigLlavaNextProcessorzmodels.llava_next_videoLlavaNextVideoConfigLlavaNextVideoProcessorzmodels.llava_onevisionLlavaOnevisionConfigLlavaOnevisionProcessorzmodels.longformerLongformerConfigLongformerTokenizerzmodels.longt5LongT5Configzmodels.luke
LukeConfigLukeTokenizerzmodels.lxmertLxmertConfigLxmertTokenizerzmodels.m2m_100M2M100Configzmodels.mambaMambaConfigzmodels.mamba2Mamba2Configzmodels.marianMarianConfigzmodels.markuplm)MarkupLMConfigMarkupLMFeatureExtractorMarkupLMProcessorMarkupLMTokenizerzmodels.mask2formerMask2FormerConfigzmodels.maskformerMaskFormerConfigMaskFormerSwinConfigzmodels.mbartMBartConfigzmodels.mbart50zmodels.megatron_bertMegatronBertConfigzmodels.megatron_gpt2zmodels.mgp_str)MgpstrConfigMgpstrProcessorMgpstrTokenizerzmodels.mimi
MimiConfigzmodels.mistralMistralConfigzmodels.mixtralMixtralConfigzmodels.mllamaMllamaConfigMllamaProcessorzmodels.mlukezmodels.mobilebertMobileBertConfigMobileBertTokenizerzmodels.mobilenet_v1MobileNetV1Configzmodels.mobilenet_v2MobileNetV2Configzmodels.mobilevitMobileViTConfigzmodels.mobilevitv2MobileViTV2Configzmodels.moshiMoshiConfigMoshiDepthConfigzmodels.mpnetMPNetConfigMPNetTokenizerz
models.mpt	MptConfigz
models.mra	MraConfigz
models.mt5	MT5Configzmodels.musicgenMusicgenConfigMusicgenDecoderConfigzmodels.musicgen_melodyMusicgenMelodyConfigMusicgenMelodyDecoderConfigz
models.mvp	MvpConfigMvpTokenizerzmodels.myt5MyT5Tokenizerzmodels.nemotronNemotronConfigzmodels.nllbzmodels.nllb_moeNllbMoeConfigzmodels.nougatNougatProcessorzmodels.nystromformerNystromformerConfigzmodels.olmo
OlmoConfigzmodels.olmo2Olmo2Configzmodels.olmoeOlmoeConfigzmodels.omdet_turboOmDetTurboConfigOmDetTurboProcessorzmodels.oneformerOneFormerConfigOneFormerProcessorzmodels.openaiOpenAIGPTConfigOpenAIGPTTokenizerz
models.opt	OPTConfigzmodels.owlv2)Owlv2ConfigOwlv2ProcessorOwlv2TextConfigOwlv2VisionConfigzmodels.owlvit)OwlViTConfigOwlViTProcessorOwlViTTextConfigOwlViTVisionConfigzmodels.paligemmaPaliGemmaConfigzmodels.patchtsmixerPatchTSMixerConfigzmodels.patchtstPatchTSTConfigzmodels.pegasusPegasusConfigPegasusTokenizerzmodels.pegasus_xPegasusXConfigzmodels.perceiverPerceiverConfigPerceiverTokenizerzmodels.persimmonPersimmonConfigz
models.phi	PhiConfigzmodels.phi3
Phi3Configzmodels.phimoePhimoeConfigzmodels.phobertPhobertTokenizerzmodels.pix2struct)Pix2StructConfigPix2StructProcessorPix2StructTextConfigPix2StructVisionConfigzmodels.pixtralPixtralProcessorPixtralVisionConfigzmodels.plbartPLBartConfigzmodels.poolformerPoolFormerConfigzmodels.pop2pianoPop2PianoConfigzmodels.prophetnetProphetNetConfigProphetNetTokenizerz
models.pvt	PvtConfigzmodels.pvt_v2PvtV2Configzmodels.qwen2Qwen2ConfigQwen2Tokenizerzmodels.qwen2_audio)Qwen2AudioConfigQwen2AudioEncoderConfigQwen2AudioProcessorzmodels.qwen2_moeQwen2MoeConfigzmodels.qwen2_vlQwen2VLConfigQwen2VLProcessorz
models.rag)	RagConfigRagRetrieverRagTokenizerzmodels.recurrent_gemmaRecurrentGemmaConfigzmodels.reformerReformerConfigzmodels.regnetRegNetConfigzmodels.rembertRemBertConfigzmodels.resnetResNetConfigzmodels.robertaRobertaConfigRobertaTokenizerzmodels.roberta_prelayernormRobertaPreLayerNormConfigzmodels.roc_bertRoCBertConfigRoCBertTokenizerzmodels.roformerRoFormerConfigRoFormerTokenizerzmodels.rt_detrRTDetrConfigRTDetrResNetConfigzmodels.rwkv
RwkvConfigz
models.sam)	SamConfigSamMaskDecoderConfigSamProcessorSamPromptEncoderConfigSamVisionConfigzmodels.seamless_m4t)SeamlessM4TConfigSeamlessM4TFeatureExtractorSeamlessM4TProcessorzmodels.seamless_m4t_v2SeamlessM4Tv2Configzmodels.segformerSegformerConfigzmodels.seggptSegGptConfigz
models.sew	SEWConfigzmodels.sew_d
SEWDConfigzmodels.siglip)SiglipConfigSiglipProcessorSiglipTextConfigSiglipVisionConfigzmodels.speech_encoder_decoderSpeechEncoderDecoderConfigzmodels.speech_to_text)Speech2TextConfigSpeech2TextFeatureExtractorSpeech2TextProcessorzmodels.speecht5)SpeechT5ConfigSpeechT5FeatureExtractorSpeechT5HifiGanConfigSpeechT5Processorzmodels.splinterSplinterConfigSplinterTokenizerzmodels.squeezebertSqueezeBertConfigSqueezeBertTokenizerzmodels.stablelmStableLmConfigzmodels.starcoder2Starcoder2Configzmodels.superpointSuperPointConfigzmodels.swiftformerSwiftFormerConfigzmodels.swin
SwinConfigzmodels.swin2srSwin2SRConfigzmodels.swinv2Swinv2Configzmodels.switch_transformersSwitchTransformersConfigz	models.t5T5Configzmodels.table_transformerTableTransformerConfigzmodels.tapasTapasConfigTapasTokenizerzmodels.time_series_transformerTimeSeriesTransformerConfigzmodels.timesformerTimesformerConfigzmodels.timm_backboneTimmBackboneConfigzmodels.trocrTrOCRConfigTrOCRProcessorz
models.tvp	TvpConfigTvpProcessorzmodels.udop
UdopConfigUdopProcessorzmodels.umt5
UMT5Configzmodels.unispeechUniSpeechConfigzmodels.unispeech_satUniSpeechSatConfigzmodels.univnetUnivNetConfigUnivNetFeatureExtractorzmodels.upernetUperNetConfigzmodels.video_llavaVideoLlavaConfigzmodels.videomaeVideoMAEConfigzmodels.vilt)
ViltConfigViltFeatureExtractorViltImageProcessorViltProcessorzmodels.vipllavaVipLlavaConfigzmodels.vision_encoder_decoderVisionEncoderDecoderConfigzmodels.vision_text_dual_encoderVisionTextDualEncoderConfigVisionTextDualEncoderProcessorzmodels.visual_bertVisualBertConfigz
models.vit	ViTConfigzmodels.vit_maeViTMAEConfigzmodels.vit_msnViTMSNConfigzmodels.vitdetVitDetConfigzmodels.vitmatteVitMatteConfigzmodels.vits
VitsConfigVitsTokenizerzmodels.vivitVivitConfigzmodels.wav2vec2)Wav2Vec2ConfigWav2Vec2CTCTokenizerWav2Vec2FeatureExtractorWav2Vec2ProcessorWav2Vec2Tokenizerzmodels.wav2vec2_bertWav2Vec2BertConfigWav2Vec2BertProcessorzmodels.wav2vec2_conformerWav2Vec2ConformerConfigzmodels.wav2vec2_phonemeWav2Vec2PhonemeCTCTokenizerzmodels.wav2vec2_with_lmWav2Vec2ProcessorWithLMzmodels.wavlmWavLMConfigzmodels.whisper)WhisperConfigWhisperFeatureExtractorWhisperProcessorWhisperTokenizerzmodels.x_clip)XCLIPConfigXCLIPProcessorXCLIPTextConfigXCLIPVisionConfigzmodels.xglm
XGLMConfigz
models.xlm	XLMConfigXLMTokenizerzmodels.xlm_robertaXLMRobertaConfigzmodels.xlm_roberta_xlXLMRobertaXLConfigzmodels.xlnetXLNetConfigzmodels.xmod
XmodConfigzmodels.yolosYolosConfigzmodels.yoso
YosoConfigzmodels.zambaZambaConfigzmodels.zoedepthZoeDepthConfigonnx	pipelines)$AudioClassificationPipeline"AutomaticSpeechRecognitionPipelineCsvPipelineDataFormatDepthEstimationPipeline!DocumentQuestionAnsweringPipelineFeatureExtractionPipelineFillMaskPipelineImageClassificationPipelineImageFeatureExtractionPipelineImageSegmentationPipelineImageTextToTextPipelineImageToImagePipelineImageToTextPipelineJsonPipelineDataFormatMaskGenerationPipelineNerPipelineObjectDetectionPipelinePipedPipelineDataFormatPipelinePipelineDataFormatQuestionAnsweringPipelineSummarizationPipelineTableQuestionAnsweringPipelineText2TextGenerationPipelineTextClassificationPipelineTextGenerationPipelineTextToAudioPipelineTokenClassificationPipelineTranslationPipelineVideoClassificationPipelineVisualQuestionAnsweringPipeline#ZeroShotAudioClassificationPipelineZeroShotClassificationPipeline#ZeroShotImageClassificationPipelineZeroShotObjectDetectionPipelinepipelineprocessing_utilsProcessorMixin
quantizerstesting_utilstokenization_utilsPreTrainedTokenizertokenization_utils_base)
AddedTokenBatchEncodingCharSpanPreTrainedTokenizerBaseSpecialTokensMixin	TokenSpantrainer_callback)DefaultFlowCallbackEarlyStoppingCallbackPrinterCallbackProgressCallbackTrainerCallbackTrainerControlTrainerStatetrainer_utils)EvalPredictionIntervalStrategySchedulerTypeenable_full_determinismset_seedtraining_argsTrainingArgumentstraining_args_seq2seqSeq2SeqTrainingArgumentstraining_args_tfTFTrainingArgumentsutils),CONFIG_NAMEMODEL_CARD_NAMEPYTORCH_PRETRAINED_BERT_CACHEPYTORCH_TRANSFORMERS_CACHESPIECE_UNDERLINETF2_WEIGHTS_NAMETF_WEIGHTS_NAMETRANSFORMERS_CACHEWEIGHTS_NAME
TensorTypeadd_end_docstringsadd_start_docstringsis_apex_availableis_av_availabler   is_datasets_availableis_faiss_availabler
   r   is_phonemizer_availableis_psutil_availableis_py3nvml_availableis_pyctcdecode_availableis_sacremoses_availableis_safetensors_availabler   r   is_sklearn_availabler   r   r   r   r   r   is_torch_mlu_availableis_torch_musa_availableis_torch_neuroncore_availableis_torch_npu_availableis_torch_tpu_availabler   is_torch_xla_availableis_torch_xpu_availabler   r   zutils.quantization_config)
AqlmConfig	AwqConfigBitNetConfigBitsAndBytesConfigCompressedTensorsConfig
EetqConfigFbgemmFp8Config
GPTQConfig	HqqConfigQuantoConfigTorchAoConfigAlbertTokenizerBarthezTokenizerBartphoTokenizerBertGenerationTokenizerBigBirdTokenizerCamembertTokenizerCodeLlamaTokenizerCpmTokenizerDebertaV2TokenizerErnieMTokenizerXLMProphetNetTokenizerFNetTokenizerGemmaTokenizerGPTSw3TokenizerLayoutXLMTokenizerLlamaTokenizerM2M100TokenizerMarianTokenizerMBartTokenizerMBart50TokenizerMLukeTokenizerMT5TokenizerNllbTokenizerPLBartTokenizerReformerTokenizerRemBertTokenizerSeamlessM4TTokenizerSiglipTokenizerSpeech2TextTokenizerSpeechT5TokenizerT5TokenizerUdopTokenizerXGLMTokenizerXLMRobertaTokenizerXLNetTokenizer)dummy_sentencepiece_objects_z!utils.dummy_sentencepiece_objectsAlbertTokenizerFastBartTokenizerFastBarthezTokenizerFastBertTokenizerFastBigBirdTokenizerFastBlenderbotTokenizerFastBlenderbotSmallTokenizerFastBloomTokenizerFastCamembertTokenizerFastCLIPTokenizerFastCodeLlamaTokenizerFastCodeGenTokenizerFastCohereTokenizerFastConvBertTokenizerFastCpmTokenizerFastDebertaTokenizerFastDebertaV2TokenizerFastRealmTokenizerFastRetriBertTokenizerFastDistilBertTokenizerFast)DPRContextEncoderTokenizerFastDPRQuestionEncoderTokenizerFastDPRReaderTokenizerFastElectraTokenizerFastFNetTokenizerFastFunnelTokenizerFastGemmaTokenizerFastGPT2TokenizerFastGPTNeoXTokenizerFastGPTNeoXJapaneseTokenizerHerbertTokenizerFastLayoutLMTokenizerFastLayoutLMv2TokenizerFastLayoutLMv3TokenizerFastLayoutXLMTokenizerFastLEDTokenizerFastLlamaTokenizerFastLongformerTokenizerFastLxmertTokenizerFastMarkupLMTokenizerFastMBartTokenizerFastMBart50TokenizerFastMobileBertTokenizerFastMPNetTokenizerFastMT5TokenizerFastMvpTokenizerFastNllbTokenizerFastNougatTokenizerFastOpenAIGPTTokenizerFastPegasusTokenizerFastQwen2TokenizerFastReformerTokenizerFastRemBertTokenizerFastRobertaTokenizerFastRoFormerTokenizerFastSeamlessM4TTokenizerFastSplinterTokenizerFastSqueezeBertTokenizerFastT5TokenizerFastUdopTokenizerFastWhisperTokenizerFastXGLMTokenizerFastXLMRobertaTokenizerFastXLNetTokenizerFastPreTrainedTokenizerFasttokenization_utils_fast)dummy_tokenizers_objectszutils.dummy_tokenizers_objectsSLOW_TO_FAST_CONVERTERSconvert_slow_tokenizer)*dummy_sentencepiece_and_tokenizers_objectsz0utils.dummy_sentencepiece_and_tokenizers_objectsTFBertTokenizer)dummy_tensorflow_text_objectsz#utils.dummy_tensorflow_text_objectsTFGPT2Tokenizer)dummy_keras_nlp_objectszutils.dummy_keras_nlp_objectsImageProcessingMixinimage_processing_baseBaseImageProcessorimage_processing_utilsImageFeatureExtractionMixinimage_utilsBeitFeatureExtractorBeitImageProcessorBitImageProcessorBlipImageProcessorBridgeTowerImageProcessorChameleonImageProcessorChineseCLIPFeatureExtractorChineseCLIPImageProcessorCLIPFeatureExtractorCLIPImageProcessorConditionalDetrFeatureExtractorConditionalDetrImageProcessorConvNextFeatureExtractorConvNextImageProcessorDeformableDetrFeatureExtractorDeformableDetrImageProcessorDeiTFeatureExtractorDeiTImageProcessorDetaImageProcessorEfficientFormerImageProcessorTvltImageProcessorViTHybridImageProcessorDetrFeatureExtractorDetrImageProcessorDonutFeatureExtractorDonutImageProcessorDPTFeatureExtractorDPTImageProcessorEfficientNetImageProcessor)FlavaFeatureExtractorFlavaImageProcessorFlavaProcessorFuyuImageProcessorFuyuProcessorGLPNFeatureExtractorGLPNImageProcessorGroundingDinoImageProcessorIdeficsImageProcessorIdefics2ImageProcessorIdefics3ImageProcessorImageGPTFeatureExtractorImageGPTImageProcessorInstructBlipVideoImageProcessorrq  rr  rv  rw  LevitFeatureExtractorLevitImageProcessorLlavaNextImageProcessorLlavaNextVideoImageProcessorLlavaOnevisionImageProcessorLlavaOnevisionVideoProcessorMask2FormerImageProcessorMaskFormerFeatureExtractorMaskFormerImageProcessorMllamaImageProcessorMobileNetV1FeatureExtractorMobileNetV1ImageProcessorMobileNetV2FeatureExtractorMobileNetV2ImageProcessorMobileViTFeatureExtractorMobileViTImageProcessorNougatImageProcessorOneFormerImageProcessorOwlv2ImageProcessorOwlViTFeatureExtractorOwlViTImageProcessorPerceiverFeatureExtractorPerceiverImageProcessorPix2StructImageProcessorPixtralImageProcessorPoolFormerFeatureExtractorPoolFormerImageProcessorPvtImageProcessorQwen2VLImageProcessorRTDetrImageProcessorSamImageProcessorSegformerFeatureExtractorSegformerImageProcessorSegGptImageProcessorSiglipImageProcessorSuperPointImageProcessorSwin2SRImageProcessorTvpImageProcessorVideoLlavaImageProcessorVideoMAEFeatureExtractorVideoMAEImageProcessor)r=  r>  r?  ViTFeatureExtractorViTImageProcessorVitMatteImageProcessorVivitImageProcessorYolosFeatureExtractorYolosImageProcessorZoeDepthImageProcessor)dummy_vision_objectszutils.dummy_vision_objectsBaseImageProcessorFastimage_processing_utils_fast DeformableDetrImageProcessorFastDetrImageProcessorFastPixtralImageProcessorFastRTDetrImageProcessorFastViTImageProcessorFast)dummy_torchvision_objectszutils.dummy_torchvision_objectsactivationsPyTorchBenchmarkzbenchmark.benchmarkPyTorchBenchmarkArgumentszbenchmark.benchmark_args)CacheCacheConfigDynamicCacheEncoderDecoderCacheHQQQuantizedCacheHybridCache
MambaCacheOffloadedCacheOffloadedStaticCacheQuantizedCacheQuantizedCacheConfigQuantoQuantizedCache	SinkCacheSlidingWindowCacheStaticCachecache_utils)	GlueDatasetGlueDataTrainingArgumentsLineByLineTextDatasetLineByLineWithRefDatasetLineByLineWithSOPTextDatasetSquadDatasetSquadDataTrainingArgumentsTextDataset$TextDatasetForNextSentencePredictionzdata.datasets)4#AlternatingCodebooksLogitsProcessorBayesianDetectorConfigBayesianDetectorModel
BeamScorerBeamSearchScorer%ClassifierFreeGuidanceLogitsProcessorConstrainedBeamSearchScorer
ConstraintConstraintListStateDisjunctiveConstraint#EncoderNoRepeatNGramLogitsProcessor'EncoderRepetitionPenaltyLogitsProcessorEosTokenCriteriaEpsilonLogitsWarperEtaLogitsWarperExponentialDecayLengthPenaltyForcedBOSTokenLogitsProcessorForcedEOSTokenLogitsProcessorGenerationMixinHammingDiversityLogitsProcessorInfNanRemoveLogitsProcessorLogitNormalizationLogitsProcessorLogitsProcessorListLogitsWarperMaxLengthCriteriaMaxTimeCriteriaMinLengthLogitsProcessor!MinNewTokensLengthLogitsProcessorMinPLogitsWarperNoBadWordsLogitsProcessorNoRepeatNGramLogitsProcessorPhrasalConstraint PrefixConstrainedLogitsProcessor RepetitionPenaltyLogitsProcessorSequenceBiasLogitsProcessorStoppingCriteriaStoppingCriteriaListStopStringCriteria$SuppressTokensAtBeginLogitsProcessorSuppressTokensLogitsProcessorSynthIDTextWatermarkDetectorSynthIDTextWatermarkingConfig#SynthIDTextWatermarkLogitsProcessorTemperatureLogitsWarperTopKLogitsWarperTopPLogitsWarperTypicalLogitsWarper.UnbatchedClassifierFreeGuidanceLogitsProcessorWatermarkDetectorWatermarkLogitsProcessorWhisperTimeStampLogitsProcessor$TorchExportableModuleWithStaticCacheconvert_and_export_with_cachezintegrations.executorchmodeling_flash_attention_utilsmodeling_outputsROPE_INIT_FUNCTIONSmodeling_rope_utilsPreTrainedModelmodeling_utils)	AlbertForMaskedLMAlbertForMultipleChoiceAlbertForPreTrainingAlbertForQuestionAnsweringAlbertForSequenceClassificationAlbertForTokenClassificationAlbertModelAlbertPreTrainedModelload_tf_weights_in_albert)
AlignModelAlignPreTrainedModelAlignTextModelAlignVisionModel)AltCLIPModelAltCLIPPreTrainedModelAltCLIPTextModelAltCLIPVisionModel)ASTForAudioClassificationASTModelASTPreTrainedModel)R&MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPINGMODEL_FOR_AUDIO_XVECTOR_MAPPINGMODEL_FOR_BACKBONE_MAPPING'MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPINGMODEL_FOR_CAUSAL_LM_MAPPINGMODEL_FOR_CTC_MAPPING"MODEL_FOR_DEPTH_ESTIMATION_MAPPING-MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING&MODEL_FOR_IMAGE_CLASSIFICATION_MAPPINGMODEL_FOR_IMAGE_MAPPING$MODEL_FOR_IMAGE_SEGMENTATION_MAPPING$MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING MODEL_FOR_IMAGE_TO_IMAGE_MAPPING'MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING$MODEL_FOR_KEYPOINT_DETECTION_MAPPING'MODEL_FOR_MASKED_IMAGE_MODELING_MAPPINGMODEL_FOR_MASKED_LM_MAPPING!MODEL_FOR_MASK_GENERATION_MAPPING!MODEL_FOR_MULTIPLE_CHOICE_MAPPING*MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING"MODEL_FOR_OBJECT_DETECTION_MAPPINGMODEL_FOR_PRETRAINING_MAPPING$MODEL_FOR_QUESTION_ANSWERING_MAPPING'MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING&MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING)MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING"MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING*MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPINGMODEL_FOR_TEXT_ENCODING_MAPPING%MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING"MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING,MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING(MODEL_FOR_TIME_SERIES_REGRESSION_MAPPING&MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING(MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING&MODEL_FOR_VIDEO_CLASSIFICATION_MAPPINGMODEL_FOR_VISION_2_SEQ_MAPPING+MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING0MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPINGMODEL_MAPPINGMODEL_WITH_LM_HEAD_MAPPINGAutoBackbone	AutoModelAutoModelForAudioClassification$AutoModelForAudioFrameClassificationAutoModelForAudioXVectorAutoModelForCausalLMAutoModelForCTCAutoModelForDepthEstimation%AutoModelForDocumentQuestionAnsweringAutoModelForImageClassificationAutoModelForImageSegmentationAutoModelForImageTextToTextAutoModelForImageToImage AutoModelForInstanceSegmentationAutoModelForKeypointDetectionAutoModelForMaskedImageModelingAutoModelForMaskedLMAutoModelForMaskGenerationAutoModelForMultipleChoice"AutoModelForNextSentencePredictionAutoModelForObjectDetectionAutoModelForPreTrainingAutoModelForQuestionAnswering AutoModelForSemanticSegmentationAutoModelForSeq2SeqLM"AutoModelForSequenceClassificationAutoModelForSpeechSeq2Seq"AutoModelForTableQuestionAnsweringAutoModelForTextEncodingAutoModelForTextToSpectrogramAutoModelForTextToWaveformAutoModelForTokenClassification!AutoModelForUniversalSegmentationAutoModelForVideoClassificationAutoModelForVision2Seq#AutoModelForVisualQuestionAnswering'AutoModelForZeroShotImageClassification#AutoModelForZeroShotObjectDetectionAutoModelWithLMHead)AutoformerForPredictionAutoformerModelAutoformerPreTrainedModel)BarkCausalModelBarkCoarseModelBarkFineModel	BarkModelBarkPreTrainedModelBarkSemanticModel)BartForCausalLMBartForConditionalGenerationBartForQuestionAnsweringBartForSequenceClassification	BartModelBartPretrainedModelBartPreTrainedModelPretrainedBartModel)BeitBackboneBeitForImageClassificationBeitForMaskedImageModelingBeitForSemanticSegmentation	BeitModelBeitPreTrainedModel)BertForMaskedLMBertForMultipleChoiceBertForNextSentencePredictionBertForPreTrainingBertForQuestionAnsweringBertForSequenceClassificationBertForTokenClassificationBertLMHeadModel	BertModelBertPreTrainedModelload_tf_weights_in_bert)BertGenerationDecoderBertGenerationEncoderBertGenerationPreTrainedModel"load_tf_weights_in_bert_generation)
BigBirdForCausalLMBigBirdForMaskedLMBigBirdForMultipleChoiceBigBirdForPreTrainingBigBirdForQuestionAnswering BigBirdForSequenceClassificationBigBirdForTokenClassificationBigBirdModelBigBirdPreTrainedModelload_tf_weights_in_big_bird)BigBirdPegasusForCausalLM&BigBirdPegasusForConditionalGeneration"BigBirdPegasusForQuestionAnswering'BigBirdPegasusForSequenceClassificationBigBirdPegasusModelBigBirdPegasusPreTrainedModel)BioGptForCausalLMBioGptForSequenceClassificationBioGptForTokenClassificationBioGptModelBioGptPreTrainedModel)BitBackboneBitForImageClassificationBitModelBitPreTrainedModel)BlenderbotForCausalLM"BlenderbotForConditionalGenerationBlenderbotModelBlenderbotPreTrainedModel)BlenderbotSmallForCausalLM'BlenderbotSmallForConditionalGenerationBlenderbotSmallModelBlenderbotSmallPreTrainedModel)BlipForConditionalGenerationBlipForImageTextRetrievalBlipForQuestionAnswering	BlipModelBlipPreTrainedModelBlipTextModelBlipVisionModel)Blip2ForConditionalGenerationBlip2ForImageTextRetrieval
Blip2ModelBlip2PreTrainedModelBlip2QFormerModelBlip2TextModelWithProjectionBlip2VisionModelBlip2VisionModelWithProjection)BloomForCausalLMBloomForQuestionAnsweringBloomForSequenceClassificationBloomForTokenClassification
BloomModelBloomPreTrainedModel)!BridgeTowerForContrastiveLearning#BridgeTowerForImageAndTextRetrievalBridgeTowerForMaskedLMBridgeTowerModelBridgeTowerPreTrainedModel)BrosForTokenClassification	BrosModelBrosPreTrainedModelr   !BrosSpadeEEForTokenClassification!BrosSpadeELForTokenClassification)CamembertForCausalLMCamembertForMaskedLMCamembertForMultipleChoiceCamembertForQuestionAnswering"CamembertForSequenceClassificationCamembertForTokenClassificationCamembertModelCamembertPreTrainedModel)CanineForMultipleChoiceCanineForQuestionAnsweringCanineForSequenceClassificationCanineForTokenClassificationCanineModelCaninePreTrainedModelload_tf_weights_in_canine)!ChameleonForConditionalGenerationChameleonModelChameleonPreTrainedModelr   ChameleonVQVAE)ChineseCLIPModelChineseCLIPPreTrainedModelChineseCLIPTextModelChineseCLIPVisionModel)ClapAudioModelClapAudioModelWithProjectionClapFeatureExtractor	ClapModelClapPreTrainedModelClapTextModelClapTextModelWithProjection)CLIPForImageClassification	CLIPModelCLIPPreTrainedModelCLIPTextModelCLIPTextModelWithProjectionCLIPVisionModelCLIPVisionModelWithProjection)CLIPSegForImageSegmentationCLIPSegModelCLIPSegPreTrainedModelCLIPSegTextModelCLIPSegVisionModel)ClvpDecoderClvpEncoderClvpForCausalLM	ClvpModel!ClvpModelForConditionalGenerationClvpPreTrainedModel)CodeGenForCausalLMCodeGenModelCodeGenPreTrainedModel)CohereForCausalLMCohereModelCoherePreTrainedModel)!ConditionalDetrForObjectDetectionConditionalDetrForSegmentationConditionalDetrModelConditionalDetrPreTrainedModel)ConvBertForMaskedLMConvBertForMultipleChoiceConvBertForQuestionAnswering!ConvBertForSequenceClassificationConvBertForTokenClassificationConvBertModelConvBertPreTrainedModelload_tf_weights_in_convbert)ConvNextBackboneConvNextForImageClassificationConvNextModelConvNextPreTrainedModel)ConvNextV2Backbone ConvNextV2ForImageClassificationConvNextV2ModelConvNextV2PreTrainedModel)CpmAntForCausalLMCpmAntModelCpmAntPreTrainedModel)CTRLForSequenceClassificationCTRLLMHeadModel	CTRLModelCTRLPreTrainedModel)CvtForImageClassificationCvtModelCvtPreTrainedModelDacModelDacPreTrainedModel)(Data2VecAudioForAudioFrameClassificationData2VecAudioForCTC&Data2VecAudioForSequenceClassificationData2VecAudioForXVectorData2VecAudioModelData2VecAudioPreTrainedModelData2VecTextForCausalLMData2VecTextForMaskedLMData2VecTextForMultipleChoice Data2VecTextForQuestionAnswering%Data2VecTextForSequenceClassification"Data2VecTextForTokenClassificationData2VecTextModelData2VecTextPreTrainedModel$Data2VecVisionForImageClassification%Data2VecVisionForSemanticSegmentationData2VecVisionModelData2VecVisionPreTrainedModel)DbrxForCausalLM	DbrxModelDbrxPreTrainedModel)DebertaForMaskedLMDebertaForQuestionAnswering DebertaForSequenceClassificationDebertaForTokenClassificationDebertaModelDebertaPreTrainedModel)DebertaV2ForMaskedLMDebertaV2ForMultipleChoiceDebertaV2ForQuestionAnswering"DebertaV2ForSequenceClassificationDebertaV2ForTokenClassificationDebertaV2ModelDebertaV2PreTrainedModel)DecisionTransformerGPT2Model&DecisionTransformerGPT2PreTrainedModelDecisionTransformerModel"DecisionTransformerPreTrainedModel) DeformableDetrForObjectDetectionDeformableDetrModelDeformableDetrPreTrainedModel)DeiTForImageClassification%DeiTForImageClassificationWithTeacherDeiTForMaskedImageModeling	DeiTModelDeiTPreTrainedModel)DetaForObjectDetection	DetaModelDetaPreTrainedModel)%EfficientFormerForImageClassification0EfficientFormerForImageClassificationWithTeacherEfficientFormerModelEfficientFormerPreTrainedModel)ErnieMForInformationExtractionErnieMForMultipleChoiceErnieMForQuestionAnsweringErnieMForSequenceClassificationErnieMForTokenClassificationErnieMModelErnieMPreTrainedModel)&GPTSanJapaneseForConditionalGenerationGPTSanJapaneseModelGPTSanJapanesePreTrainedModel) GraphormerForGraphClassificationGraphormerModelGraphormerPreTrainedModel)JukeboxModelJukeboxPreTrainedModelJukeboxPriorJukeboxVQVAE)MCTCTForCTC
MCTCTModelMCTCTPreTrainedModel)MegaForCausalLMMegaForMaskedLMMegaForMultipleChoiceMegaForQuestionAnsweringMegaForSequenceClassificationMegaForTokenClassification	MegaModelMegaPreTrainedModel)MMBTForClassification	MMBTModelModalEmbeddings)NatBackboneNatForImageClassificationNatModelNatPreTrainedModel)	NezhaForMaskedLMNezhaForMultipleChoiceNezhaForNextSentencePredictionNezhaForPreTrainingNezhaForQuestionAnsweringNezhaForSequenceClassificationNezhaForTokenClassification
NezhaModelNezhaPreTrainedModel)OpenLlamaForCausalLM"OpenLlamaForSequenceClassificationOpenLlamaModelOpenLlamaPreTrainedModel)
QDQBertForMaskedLMQDQBertForMultipleChoice QDQBertForNextSentencePredictionQDQBertForQuestionAnswering QDQBertForSequenceClassificationQDQBertForTokenClassificationQDQBertLMHeadModelQDQBertModelQDQBertPreTrainedModelload_tf_weights_in_qdqbert)RealmEmbedderRealmForOpenQARealmKnowledgeAugEncoderRealmPreTrainedModelRealmReaderRealmRetrieverRealmScorerload_tf_weights_in_realmRetriBertModelRetriBertPreTrainedModelSpeech2Text2ForCausalLMSpeech2Text2PreTrainedModelTrajectoryTransformerModel$TrajectoryTransformerPreTrainedModel)AdaptiveEmbedding"TransfoXLForSequenceClassificationTransfoXLLMHeadModelTransfoXLModelTransfoXLPreTrainedModelload_tf_weights_in_transfo_xl) TvltForAudioVisualClassificationTvltForPreTraining	TvltModelTvltPreTrainedModel)VanForImageClassificationVanModelVanPreTrainedModel)ViTHybridForImageClassificationViTHybridModelViTHybridPreTrainedModel)XLMProphetNetDecoderXLMProphetNetEncoderXLMProphetNetForCausalLM%XLMProphetNetForConditionalGenerationXLMProphetNetModelXLMProphetNetPreTrainedModelDepthAnythingForDepthEstimationDepthAnythingPreTrainedModel)DetrForObjectDetectionDetrForSegmentation	DetrModelDetrPreTrainedModel)DinatBackboneDinatForImageClassification
DinatModelDinatPreTrainedModel)Dinov2BackboneDinov2ForImageClassificationDinov2ModelDinov2PreTrainedModel)DistilBertForMaskedLMDistilBertForMultipleChoiceDistilBertForQuestionAnswering#DistilBertForSequenceClassification DistilBertForTokenClassificationDistilBertModelDistilBertPreTrainedModelDonutSwinModelDonutSwinPreTrainedModel)DPRContextEncoderDPRPretrainedContextEncoderDPRPreTrainedModelDPRPretrainedQuestionEncoderDPRPretrainedReaderDPRQuestionEncoder	DPRReader)DPTForDepthEstimationDPTForSemanticSegmentationDPTModelDPTPreTrainedModel)"EfficientNetForImageClassificationEfficientNetModelEfficientNetPreTrainedModel)
ElectraForCausalLMElectraForMaskedLMElectraForMultipleChoiceElectraForPreTrainingElectraForQuestionAnswering ElectraForSequenceClassificationElectraForTokenClassificationElectraModelElectraPreTrainedModelload_tf_weights_in_electraEncodecModelEncodecPreTrainedModelEncoderDecoderModel)
ErnieForCausalLMErnieForMaskedLMErnieForMultipleChoiceErnieForNextSentencePredictionErnieForPreTrainingErnieForQuestionAnsweringErnieForSequenceClassificationErnieForTokenClassification
ErnieModelErniePreTrainedModel)EsmFoldPreTrainedModelEsmForMaskedLMEsmForProteinFoldingEsmForSequenceClassificationEsmForTokenClassificationEsmModelEsmPreTrainedModel)FalconForCausalLMFalconForQuestionAnsweringFalconForSequenceClassificationFalconForTokenClassificationFalconModelFalconPreTrainedModel)FalconMambaForCausalLMFalconMambaModelFalconMambaPreTrainedModel)FastSpeech2ConformerHifiGanFastSpeech2ConformerModel#FastSpeech2ConformerPreTrainedModelFastSpeech2ConformerWithHifiGan)FlaubertForMultipleChoiceFlaubertForQuestionAnswering"FlaubertForQuestionAnsweringSimple!FlaubertForSequenceClassificationFlaubertForTokenClassificationFlaubertModelFlaubertPreTrainedModelFlaubertWithLMHeadModel)FlavaForPreTrainingFlavaImageCodebookFlavaImageModel
FlavaModelFlavaMultimodalModelFlavaPreTrainedModelFlavaTextModel)	FNetForMaskedLMFNetForMultipleChoiceFNetForNextSentencePredictionFNetForPreTrainingFNetForQuestionAnsweringFNetForSequenceClassificationFNetForTokenClassification	FNetModelFNetPreTrainedModel)FocalNetBackboneFocalNetForImageClassificationFocalNetForMaskedImageModelingFocalNetModelFocalNetPreTrainedModel)FSMTForConditionalGeneration	FSMTModelPretrainedFSMTModel)
FunnelBaseModelFunnelForMaskedLMFunnelForMultipleChoiceFunnelForPreTrainingFunnelForQuestionAnsweringFunnelForSequenceClassificationFunnelForTokenClassificationFunnelModelFunnelPreTrainedModelload_tf_weights_in_funnelFuyuForCausalLMFuyuPreTrainedModel)GemmaForCausalLMGemmaForSequenceClassificationGemmaForTokenClassification
GemmaModelGemmaPreTrainedModel)Gemma2ForCausalLMGemma2ForSequenceClassificationGemma2ForTokenClassificationGemma2ModelGemma2PreTrainedModel)GitForCausalLMGitModelGitPreTrainedModelGitVisionModel)GlmForCausalLMGlmForSequenceClassificationGlmForTokenClassificationGlmModelGlmPreTrainedModel)GLPNForDepthEstimation	GLPNModelGLPNPreTrainedModel)GPT2DoubleHeadsModelGPT2ForQuestionAnsweringGPT2ForSequenceClassificationGPT2ForTokenClassificationGPT2LMHeadModel	GPT2ModelGPT2PreTrainedModelload_tf_weights_in_gpt2)GPTBigCodeForCausalLM#GPTBigCodeForSequenceClassification GPTBigCodeForTokenClassificationGPTBigCodeModelGPTBigCodePreTrainedModel)GPTNeoForCausalLMGPTNeoForQuestionAnsweringGPTNeoForSequenceClassificationGPTNeoForTokenClassificationGPTNeoModelGPTNeoPreTrainedModelload_tf_weights_in_gpt_neo)GPTNeoXForCausalLMGPTNeoXForQuestionAnswering GPTNeoXForSequenceClassificationGPTNeoXForTokenClassificationGPTNeoXModelGPTNeoXPreTrainedModel)GPTNeoXJapaneseForCausalLMGPTNeoXJapaneseModelGPTNeoXJapanesePreTrainedModel)GPTJForCausalLMGPTJForQuestionAnsweringGPTJForSequenceClassification	GPTJModelGPTJPreTrainedModel)GraniteForCausalLMGraniteModelGranitePreTrainedModel)GraniteMoeForCausalLMGraniteMoeModelGraniteMoePreTrainedModel)GroundingDinoForObjectDetectionGroundingDinoModelGroundingDinoPreTrainedModel)GroupViTModelGroupViTPreTrainedModelGroupViTTextModelGroupViTVisionModel)HieraBackboneHieraForImageClassificationHieraForPreTraining
HieraModelHieraPreTrainedModel)HubertForCTCHubertForSequenceClassificationHubertModelHubertPreTrainedModel)IBertForMaskedLMIBertForMultipleChoiceIBertForQuestionAnsweringIBertForSequenceClassificationIBertForTokenClassification
IBertModelIBertPreTrainedModel)IdeficsForVisionText2TextIdeficsModelIdeficsPreTrainedModelIdeficsProcessor) Idefics2ForConditionalGenerationIdefics2ModelIdefics2PreTrainedModelIdefics2Processor) Idefics3ForConditionalGenerationIdefics3ModelIdefics3PreTrainedModelIdefics3Processor)IJepaForImageClassification
IJepaModelIJepaPreTrainedModel)ImageGPTForCausalImageModelingImageGPTForImageClassificationImageGPTModelImageGPTPreTrainedModelload_tf_weights_in_imagegpt)InformerForPredictionInformerModelInformerPreTrainedModel)$InstructBlipForConditionalGenerationInstructBlipPreTrainedModelInstructBlipQFormerModelInstructBlipVisionModel))InstructBlipVideoForConditionalGeneration InstructBlipVideoPreTrainedModelInstructBlipVideoQFormerModelInstructBlipVideoVisionModel)JambaForCausalLMJambaForSequenceClassification
JambaModelJambaPreTrainedModel)JetMoeForCausalLMJetMoeForSequenceClassificationJetMoeModelJetMoePreTrainedModel)Kosmos2ForConditionalGenerationKosmos2ModelKosmos2PreTrainedModel)LayoutLMForMaskedLMLayoutLMForQuestionAnswering!LayoutLMForSequenceClassificationLayoutLMForTokenClassificationLayoutLMModelLayoutLMPreTrainedModel)LayoutLMv2ForQuestionAnswering#LayoutLMv2ForSequenceClassification LayoutLMv2ForTokenClassificationLayoutLMv2ModelLayoutLMv2PreTrainedModel)LayoutLMv3ForQuestionAnswering#LayoutLMv3ForSequenceClassification LayoutLMv3ForTokenClassificationLayoutLMv3ModelLayoutLMv3PreTrainedModel)LEDForConditionalGenerationLEDForQuestionAnsweringLEDForSequenceClassificationLEDModelLEDPreTrainedModel)LevitForImageClassification&LevitForImageClassificationWithTeacher
LevitModelLevitPreTrainedModel)LiltForQuestionAnsweringLiltForSequenceClassificationLiltForTokenClassification	LiltModelLiltPreTrainedModel)LlamaForCausalLMLlamaForQuestionAnsweringLlamaForSequenceClassificationLlamaForTokenClassification
LlamaModelLlamaPreTrainedModelLlavaForConditionalGenerationLlavaPreTrainedModel!LlavaNextForConditionalGenerationLlavaNextPreTrainedModel&LlavaNextVideoForConditionalGenerationLlavaNextVideoPreTrainedModel&LlavaOnevisionForConditionalGenerationLlavaOnevisionPreTrainedModel)LongformerForMaskedLMLongformerForMultipleChoiceLongformerForQuestionAnswering#LongformerForSequenceClassification LongformerForTokenClassificationLongformerModelLongformerPreTrainedModel)LongT5EncoderModelLongT5ForConditionalGenerationLongT5ModelLongT5PreTrainedModel)
LukeForEntityClassificationLukeForEntityPairClassificationLukeForEntitySpanClassificationLukeForMaskedLMLukeForMultipleChoiceLukeForQuestionAnsweringLukeForSequenceClassificationLukeForTokenClassification	LukeModelLukePreTrainedModel)LxmertEncoderLxmertForPreTrainingLxmertForQuestionAnsweringLxmertModelLxmertPreTrainedModelLxmertVisualFeatureEncoder)M2M100ForConditionalGenerationM2M100ModelM2M100PreTrainedModel)MambaForCausalLM
MambaModelMambaPreTrainedModel)Mamba2ForCausalLMMamba2ModelMamba2PreTrainedModel)MarianForCausalLMMarianModelMarianMTModelMarianPreTrainedModel)MarkupLMForQuestionAnswering!MarkupLMForSequenceClassificationMarkupLMForTokenClassificationMarkupLMModelMarkupLMPreTrainedModel)#Mask2FormerForUniversalSegmentationMask2FormerModelMask2FormerPreTrainedModel)!MaskFormerForInstanceSegmentationMaskFormerModelMaskFormerPreTrainedModelMaskFormerSwinBackbone)MBartForCausalLMMBartForConditionalGenerationMBartForQuestionAnsweringMBartForSequenceClassification
MBartModelMBartPreTrainedModel)
MegatronBertForCausalLMMegatronBertForMaskedLMMegatronBertForMultipleChoice%MegatronBertForNextSentencePredictionMegatronBertForPreTraining MegatronBertForQuestionAnswering%MegatronBertForSequenceClassification"MegatronBertForTokenClassificationMegatronBertModelMegatronBertPreTrainedModel)MgpstrForSceneTextRecognitionMgpstrModelMgpstrPreTrainedModel	MimiModelMimiPreTrainedModel)MistralForCausalLMMistralForQuestionAnswering MistralForSequenceClassificationMistralForTokenClassificationMistralModelMistralPreTrainedModel)MixtralForCausalLMMixtralForQuestionAnswering MixtralForSequenceClassificationMixtralForTokenClassificationMixtralModelMixtralPreTrainedModel)MllamaForCausalLMMllamaForConditionalGenerationMllamaPreTrainedModelr  MllamaTextModelMllamaVisionModel)
MobileBertForMaskedLMMobileBertForMultipleChoice#MobileBertForNextSentencePredictionMobileBertForPreTrainingMobileBertForQuestionAnswering#MobileBertForSequenceClassification MobileBertForTokenClassificationMobileBertModelMobileBertPreTrainedModelload_tf_weights_in_mobilebert)!MobileNetV1ForImageClassificationMobileNetV1ModelMobileNetV1PreTrainedModelload_tf_weights_in_mobilenet_v1)!MobileNetV2ForImageClassification"MobileNetV2ForSemanticSegmentationMobileNetV2ModelMobileNetV2PreTrainedModelload_tf_weights_in_mobilenet_v2)MobileViTForImageClassification MobileViTForSemanticSegmentationMobileViTModelMobileViTPreTrainedModel)!MobileViTV2ForImageClassification"MobileViTV2ForSemanticSegmentationMobileViTV2ModelMobileViTV2PreTrainedModel)MoshiForCausalLMMoshiForConditionalGeneration
MoshiModelMoshiPreTrainedModel)MPNetForMaskedLMMPNetForMultipleChoiceMPNetForQuestionAnsweringMPNetForSequenceClassificationMPNetForTokenClassification
MPNetModelMPNetPreTrainedModel)MptForCausalLMMptForQuestionAnsweringMptForSequenceClassificationMptForTokenClassificationMptModelMptPreTrainedModel)MraForMaskedLMMraForMultipleChoiceMraForQuestionAnsweringMraForSequenceClassificationMraForTokenClassificationMraModelMraPreTrainedModel)MT5EncoderModelMT5ForConditionalGenerationMT5ForQuestionAnsweringMT5ForSequenceClassificationMT5ForTokenClassificationMT5ModelMT5PreTrainedModel)MusicgenForCausalLM MusicgenForConditionalGenerationMusicgenModelMusicgenPreTrainedModelMusicgenProcessor)MusicgenMelodyForCausalLM&MusicgenMelodyForConditionalGenerationMusicgenMelodyModelMusicgenMelodyPreTrainedModel)MvpForCausalLMMvpForConditionalGenerationMvpForQuestionAnsweringMvpForSequenceClassificationMvpModelMvpPreTrainedModel)NemotronForCausalLMNemotronForQuestionAnswering!NemotronForSequenceClassificationNemotronForTokenClassificationNemotronModelNemotronPreTrainedModel)NllbMoeForConditionalGenerationNllbMoeModelNllbMoePreTrainedModelNllbMoeSparseMLPNllbMoeTop2Router)NystromformerForMaskedLMNystromformerForMultipleChoice!NystromformerForQuestionAnswering&NystromformerForSequenceClassification#NystromformerForTokenClassificationNystromformerModelNystromformerPreTrainedModel)OlmoForCausalLM	OlmoModelOlmoPreTrainedModel)Olmo2ForCausalLM
Olmo2ModelOlmo2PreTrainedModel)OlmoeForCausalLM
OlmoeModelOlmoePreTrainedModelOmDetTurboForObjectDetectionOmDetTurboPreTrainedModel)!OneFormerForUniversalSegmentationOneFormerModelOneFormerPreTrainedModel)OpenAIGPTDoubleHeadsModel"OpenAIGPTForSequenceClassificationOpenAIGPTLMHeadModelOpenAIGPTModelOpenAIGPTPreTrainedModelload_tf_weights_in_openai_gpt)OPTForCausalLMOPTForQuestionAnsweringOPTForSequenceClassificationOPTModelOPTPreTrainedModel)Owlv2ForObjectDetection
Owlv2ModelOwlv2PreTrainedModelOwlv2TextModelOwlv2VisionModel)OwlViTForObjectDetectionOwlViTModelOwlViTPreTrainedModelOwlViTTextModelOwlViTVisionModel)!PaliGemmaForConditionalGenerationPaliGemmaPreTrainedModelPaliGemmaProcessor)PatchTSMixerForPredictionPatchTSMixerForPretrainingPatchTSMixerForRegression'PatchTSMixerForTimeSeriesClassificationPatchTSMixerModelPatchTSMixerPreTrainedModel)PatchTSTForClassificationPatchTSTForPredictionPatchTSTForPretrainingPatchTSTForRegressionPatchTSTModelPatchTSTPreTrainedModel)PegasusForCausalLMPegasusForConditionalGenerationPegasusModelPegasusPreTrainedModel) PegasusXForConditionalGenerationPegasusXModelPegasusXPreTrainedModel)	-PerceiverForImageClassificationConvProcessing&PerceiverForImageClassificationFourier&PerceiverForImageClassificationLearnedPerceiverForMaskedLM"PerceiverForMultimodalAutoencodingPerceiverForOpticalFlow"PerceiverForSequenceClassificationPerceiverModelPerceiverPreTrainedModel)PersimmonForCausalLM"PersimmonForSequenceClassificationPersimmonForTokenClassificationPersimmonModelPersimmonPreTrainedModel)PhiForCausalLMPhiForSequenceClassificationPhiForTokenClassificationPhiModelPhiPreTrainedModel)Phi3ForCausalLMPhi3ForSequenceClassificationPhi3ForTokenClassification	Phi3ModelPhi3PreTrainedModel)PhimoeForCausalLMPhimoeForSequenceClassificationPhimoeModelPhimoePreTrainedModel)"Pix2StructForConditionalGenerationPix2StructPreTrainedModelPix2StructTextModelPix2StructVisionModelPixtralPreTrainedModelPixtralVisionModel)PLBartForCausalLMPLBartForConditionalGenerationPLBartForSequenceClassificationPLBartModelPLBartPreTrainedModel) PoolFormerForImageClassificationPoolFormerModelPoolFormerPreTrainedModel!Pop2PianoForConditionalGenerationPop2PianoPreTrainedModel)ProphetNetDecoderProphetNetEncoderProphetNetForCausalLM"ProphetNetForConditionalGenerationProphetNetModelProphetNetPreTrainedModel)PvtForImageClassificationPvtModelPvtPreTrainedModel)PvtV2BackbonePvtV2ForImageClassification
PvtV2ModelPvtV2PreTrainedModel)Qwen2ForCausalLMQwen2ForQuestionAnsweringQwen2ForSequenceClassificationQwen2ForTokenClassification
Qwen2ModelQwen2PreTrainedModel)Qwen2AudioEncoder"Qwen2AudioForConditionalGenerationQwen2AudioPreTrainedModel)Qwen2MoeForCausalLMQwen2MoeForQuestionAnswering!Qwen2MoeForSequenceClassificationQwen2MoeForTokenClassificationQwen2MoeModelQwen2MoePreTrainedModel)Qwen2VLForConditionalGenerationQwen2VLModelQwen2VLPreTrainedModel)RagModelRagPreTrainedModelRagSequenceForGenerationRagTokenForGeneration)RecurrentGemmaForCausalLMRecurrentGemmaModelRecurrentGemmaPreTrainedModel)ReformerForMaskedLMReformerForQuestionAnswering!ReformerForSequenceClassificationReformerModelReformerModelWithLMHeadReformerPreTrainedModel)RegNetForImageClassificationRegNetModelRegNetPreTrainedModel)	RemBertForCausalLMRemBertForMaskedLMRemBertForMultipleChoiceRemBertForQuestionAnswering RemBertForSequenceClassificationRemBertForTokenClassificationRemBertModelRemBertPreTrainedModelload_tf_weights_in_rembert)ResNetBackboneResNetForImageClassificationResNetModelResNetPreTrainedModel)RobertaForCausalLMRobertaForMaskedLMRobertaForMultipleChoiceRobertaForQuestionAnswering RobertaForSequenceClassificationRobertaForTokenClassificationRobertaModelRobertaPreTrainedModel)RobertaPreLayerNormForCausalLMRobertaPreLayerNormForMaskedLM$RobertaPreLayerNormForMultipleChoice'RobertaPreLayerNormForQuestionAnswering,RobertaPreLayerNormForSequenceClassification)RobertaPreLayerNormForTokenClassificationRobertaPreLayerNormModel"RobertaPreLayerNormPreTrainedModel)
RoCBertForCausalLMRoCBertForMaskedLMRoCBertForMultipleChoiceRoCBertForPreTrainingRoCBertForQuestionAnswering RoCBertForSequenceClassificationRoCBertForTokenClassificationRoCBertModelRoCBertPreTrainedModelload_tf_weights_in_roc_bert)	RoFormerForCausalLMRoFormerForMaskedLMRoFormerForMultipleChoiceRoFormerForQuestionAnswering!RoFormerForSequenceClassificationRoFormerForTokenClassificationRoFormerModelRoFormerPreTrainedModelload_tf_weights_in_roformer)RTDetrForObjectDetectionRTDetrModelRTDetrPreTrainedModelRTDetrResNetBackboneRTDetrResNetPreTrainedModel)RwkvForCausalLM	RwkvModelRwkvPreTrainedModelSamModelSamPreTrainedModel)
SeamlessM4TCodeHifiGanSeamlessM4TForSpeechToSpeechSeamlessM4TForSpeechToTextSeamlessM4TForTextToSpeechSeamlessM4TForTextToTextSeamlessM4THifiGanSeamlessM4TModelSeamlessM4TPreTrainedModel-SeamlessM4TTextToUnitForConditionalGenerationSeamlessM4TTextToUnitModel)SeamlessM4Tv2ForSpeechToSpeechSeamlessM4Tv2ForSpeechToTextSeamlessM4Tv2ForTextToSpeechSeamlessM4Tv2ForTextToTextSeamlessM4Tv2ModelSeamlessM4Tv2PreTrainedModel)SegformerDecodeHeadSegformerForImageClassification SegformerForSemanticSegmentationSegformerModelSegformerPreTrainedModel)SegGptForImageSegmentationSegGptModelSegGptPreTrainedModel)	SEWForCTCSEWForSequenceClassificationSEWModelSEWPreTrainedModel)
SEWDForCTCSEWDForSequenceClassification	SEWDModelSEWDPreTrainedModel)SiglipForImageClassificationSiglipModelSiglipPreTrainedModelSiglipTextModelSiglipVisionModelSpeechEncoderDecoderModel)#Speech2TextForConditionalGenerationSpeech2TextModelSpeech2TextPreTrainedModel)SpeechT5ForSpeechToSpeechSpeechT5ForSpeechToTextSpeechT5ForTextToSpeechSpeechT5HifiGanSpeechT5ModelSpeechT5PreTrainedModel)SplinterForPreTrainingSplinterForQuestionAnsweringSplinterModelSplinterPreTrainedModel)SqueezeBertForMaskedLMSqueezeBertForMultipleChoiceSqueezeBertForQuestionAnswering$SqueezeBertForSequenceClassification!SqueezeBertForTokenClassificationSqueezeBertModelSqueezeBertPreTrainedModel)StableLmForCausalLM!StableLmForSequenceClassificationStableLmForTokenClassificationStableLmModelStableLmPreTrainedModel)Starcoder2ForCausalLM#Starcoder2ForSequenceClassification Starcoder2ForTokenClassificationStarcoder2ModelStarcoder2PreTrainedModelSuperPointForKeypointDetectionSuperPointPreTrainedModel)!SwiftFormerForImageClassificationSwiftFormerModelSwiftFormerPreTrainedModel)SwinBackboneSwinForImageClassificationSwinForMaskedImageModeling	SwinModelSwinPreTrainedModel)Swin2SRForImageSuperResolutionSwin2SRModelSwin2SRPreTrainedModel)Swinv2BackboneSwinv2ForImageClassificationSwinv2ForMaskedImageModelingSwinv2ModelSwinv2PreTrainedModel)SwitchTransformersEncoderModel*SwitchTransformersForConditionalGenerationSwitchTransformersModel!SwitchTransformersPreTrainedModelSwitchTransformersSparseMLPSwitchTransformersTop1Router)T5EncoderModelT5ForConditionalGenerationT5ForQuestionAnsweringT5ForSequenceClassificationT5ForTokenClassificationT5ModelT5PreTrainedModelload_tf_weights_in_t5)"TableTransformerForObjectDetectionTableTransformerModelTableTransformerPreTrainedModel)TapasForMaskedLMTapasForQuestionAnsweringTapasForSequenceClassification
TapasModelTapasPreTrainedModelload_tf_weights_in_tapas)"TimeSeriesTransformerForPredictionTimeSeriesTransformerModel$TimeSeriesTransformerPreTrainedModel)!TimesformerForVideoClassificationTimesformerModelTimesformerPreTrainedModelTimmBackboneTrOCRForCausalLMTrOCRPreTrainedModel)TvpForVideoGroundingTvpModelTvpPreTrainedModel)UdopEncoderModelUdopForConditionalGeneration	UdopModelUdopPreTrainedModel)UMT5EncoderModelUMT5ForConditionalGenerationUMT5ForQuestionAnsweringUMT5ForSequenceClassificationUMT5ForTokenClassification	UMT5ModelUMT5PreTrainedModel)UniSpeechForCTCUniSpeechForPreTraining"UniSpeechForSequenceClassificationUniSpeechModelUniSpeechPreTrainedModel)'UniSpeechSatForAudioFrameClassificationUniSpeechSatForCTCUniSpeechSatForPreTraining%UniSpeechSatForSequenceClassificationUniSpeechSatForXVectorUniSpeechSatModelUniSpeechSatPreTrainedModelUnivNetModelUperNetForSemanticSegmentationUperNetPreTrainedModel)"VideoLlavaForConditionalGenerationVideoLlavaPreTrainedModelVideoLlavaProcessor)VideoMAEForPreTrainingVideoMAEForVideoClassificationVideoMAEModelVideoMAEPreTrainedModel)ViltForImageAndTextRetrieval"ViltForImagesAndTextClassificationViltForMaskedLMViltForQuestionAnsweringViltForTokenClassification	ViltModelViltPreTrainedModel VipLlavaForConditionalGenerationVipLlavaPreTrainedModelVisionEncoderDecoderModelVisionTextDualEncoderModel)VisualBertForMultipleChoiceVisualBertForPreTrainingVisualBertForQuestionAnswering$VisualBertForRegionToPhraseAlignmentVisualBertForVisualReasoningVisualBertModelVisualBertPreTrainedModel)ViTForImageClassificationViTForMaskedImageModelingViTModelViTPreTrainedModel)ViTMAEForPreTrainingViTMAEModelViTMAEPreTrainedModel)ViTMSNForImageClassificationViTMSNModelViTMSNPreTrainedModel)VitDetBackboneVitDetModelVitDetPreTrainedModelVitMatteForImageMattingVitMattePreTrainedModel	VitsModelVitsPreTrainedModel)VivitForVideoClassification
VivitModelVivitPreTrainedModel)#Wav2Vec2ForAudioFrameClassificationWav2Vec2ForCTCWav2Vec2ForMaskedLMWav2Vec2ForPreTraining!Wav2Vec2ForSequenceClassificationWav2Vec2ForXVectorWav2Vec2ModelWav2Vec2PreTrainedModel)'Wav2Vec2BertForAudioFrameClassificationWav2Vec2BertForCTC%Wav2Vec2BertForSequenceClassificationWav2Vec2BertForXVectorWav2Vec2BertModelWav2Vec2BertPreTrainedModel),Wav2Vec2ConformerForAudioFrameClassificationWav2Vec2ConformerForCTCWav2Vec2ConformerForPreTraining*Wav2Vec2ConformerForSequenceClassificationWav2Vec2ConformerForXVectorWav2Vec2ConformerModel Wav2Vec2ConformerPreTrainedModel) WavLMForAudioFrameClassificationWavLMForCTCWavLMForSequenceClassificationWavLMForXVector
WavLMModelWavLMPreTrainedModel)WhisperForAudioClassificationWhisperForCausalLMWhisperForConditionalGenerationWhisperModelWhisperPreTrainedModel)
XCLIPModelXCLIPPreTrainedModelXCLIPTextModelXCLIPVisionModel)XGLMForCausalLM	XGLMModelXGLMPreTrainedModel)XLMForMultipleChoiceXLMForQuestionAnsweringXLMForQuestionAnsweringSimpleXLMForSequenceClassificationXLMForTokenClassificationXLMModelXLMPreTrainedModelXLMWithLMHeadModel)XLMRobertaForCausalLMXLMRobertaForMaskedLMXLMRobertaForMultipleChoiceXLMRobertaForQuestionAnswering#XLMRobertaForSequenceClassification XLMRobertaForTokenClassificationXLMRobertaModelXLMRobertaPreTrainedModel)XLMRobertaXLForCausalLMXLMRobertaXLForMaskedLMXLMRobertaXLForMultipleChoice XLMRobertaXLForQuestionAnswering%XLMRobertaXLForSequenceClassification"XLMRobertaXLForTokenClassificationXLMRobertaXLModelXLMRobertaXLPreTrainedModel)	XLNetForMultipleChoiceXLNetForQuestionAnsweringXLNetForQuestionAnsweringSimpleXLNetForSequenceClassificationXLNetForTokenClassificationXLNetLMHeadModel
XLNetModelXLNetPreTrainedModelload_tf_weights_in_xlnet)XmodForCausalLMXmodForMaskedLMXmodForMultipleChoiceXmodForQuestionAnsweringXmodForSequenceClassificationXmodForTokenClassification	XmodModelXmodPreTrainedModel)YolosForObjectDetection
YolosModelYolosPreTrainedModel)YosoForMaskedLMYosoForMultipleChoiceYosoForQuestionAnsweringYosoForSequenceClassificationYosoForTokenClassification	YosoModelYosoPreTrainedModel)ZambaForCausalLMZambaForSequenceClassification
ZambaModelZambaPreTrainedModelZoeDepthForDepthEstimationZoeDepthPreTrainedModel)	AdafactorAdamWget_constant_schedule!get_constant_schedule_with_warmupget_cosine_schedule_with_warmup2get_cosine_with_hard_restarts_schedule_with_warmupget_inverse_sqrt_scheduleget_linear_schedule_with_warmup)get_polynomial_decay_schedule_with_warmupget_schedulerget_wsd_scheduleoptimization)Conv1Dapply_chunking_to_forwardprune_layerpytorch_utils	sagemakertime_series_utilsTrainertrainertorch_distributed_zero_firsttrainer_pt_utilsSeq2SeqTrainertrainer_seq2seq)dummy_pt_objectszutils.dummy_pt_objectsactivations_tfTensorFlowBenchmarkArgumentszbenchmark.benchmark_args_tfTensorFlowBenchmarkzbenchmark.benchmark_tf)TFForcedBOSTokenLogitsProcessorTFForcedEOSTokenLogitsProcessorTFForceTokensLogitsProcessorTFGenerationMixinTFLogitsProcessorTFLogitsProcessorListTFLogitsWarperTFMinLengthLogitsProcessorTFNoBadWordsLogitsProcessorTFNoRepeatNGramLogitsProcessor"TFRepetitionPenaltyLogitsProcessor&TFSuppressTokensAtBeginLogitsProcessorTFSuppressTokensLogitsProcessorTFTemperatureLogitsWarperTFTopKLogitsWarperTFTopPLogitsWarperKerasMetricCallbackPushToHubCallbackkeras_callbacksmodeling_tf_outputs)TFPreTrainedModelTFSequenceSummaryTFSharedEmbeddings
shape_listmodeling_tf_utils)	TFAlbertForMaskedLMTFAlbertForMultipleChoiceTFAlbertForPreTrainingTFAlbertForQuestionAnswering!TFAlbertForSequenceClassificationTFAlbertForTokenClassificationTFAlbertMainLayerTFAlbertModelTFAlbertPreTrainedModel),)TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPINGTF_MODEL_FOR_CAUSAL_LM_MAPPING0TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING)TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING*TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPINGTF_MODEL_FOR_MASKED_LM_MAPPING$TF_MODEL_FOR_MASK_GENERATION_MAPPING$TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING-TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING TF_MODEL_FOR_PRETRAINING_MAPPING'TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING*TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING)TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING%TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING-TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING"TF_MODEL_FOR_TEXT_ENCODING_MAPPING)TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING!TF_MODEL_FOR_VISION_2_SEQ_MAPPING3TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPINGTF_MODEL_MAPPINGTF_MODEL_WITH_LM_HEAD_MAPPINGTFAutoModel!TFAutoModelForAudioClassificationTFAutoModelForCausalLM'TFAutoModelForDocumentQuestionAnswering!TFAutoModelForImageClassification!TFAutoModelForMaskedImageModelingTFAutoModelForMaskedLMTFAutoModelForMaskGenerationTFAutoModelForMultipleChoice$TFAutoModelForNextSentencePredictionTFAutoModelForPreTrainingTFAutoModelForQuestionAnswering"TFAutoModelForSemanticSegmentationTFAutoModelForSeq2SeqLM$TFAutoModelForSequenceClassificationTFAutoModelForSpeechSeq2Seq$TFAutoModelForTableQuestionAnsweringTFAutoModelForTextEncoding!TFAutoModelForTokenClassificationTFAutoModelForVision2Seq)TFAutoModelForZeroShotImageClassificationTFAutoModelWithLMHead)TFBartForConditionalGenerationTFBartForSequenceClassificationTFBartModelTFBartPretrainedModel)TFBertForMaskedLMTFBertForMultipleChoiceTFBertForNextSentencePredictionTFBertForPreTrainingTFBertForQuestionAnsweringTFBertForSequenceClassificationTFBertForTokenClassificationTFBertLMHeadModelTFBertMainLayerTFBertModelTFBertPreTrainedModel)$TFBlenderbotForConditionalGenerationTFBlenderbotModelTFBlenderbotPreTrainedModel))TFBlenderbotSmallForConditionalGenerationTFBlenderbotSmallModel TFBlenderbotSmallPreTrainedModel)TFBlipForConditionalGenerationTFBlipForImageTextRetrievalTFBlipForQuestionAnsweringTFBlipModelTFBlipPreTrainedModelTFBlipTextModelTFBlipVisionModel)TFCamembertForCausalLMTFCamembertForMaskedLMTFCamembertForMultipleChoiceTFCamembertForQuestionAnswering$TFCamembertForSequenceClassification!TFCamembertForTokenClassificationTFCamembertModelTFCamembertPreTrainedModel)TFCLIPModelTFCLIPPreTrainedModelTFCLIPTextModelTFCLIPVisionModel)TFConvBertForMaskedLMTFConvBertForMultipleChoiceTFConvBertForQuestionAnswering#TFConvBertForSequenceClassification TFConvBertForTokenClassificationTFConvBertModelTFConvBertPreTrainedModel) TFConvNextForImageClassificationTFConvNextModelTFConvNextPreTrainedModel)"TFConvNextV2ForImageClassificationTFConvNextV2ModelTFConvNextV2PreTrainedModel)TFCTRLForSequenceClassificationTFCTRLLMHeadModelTFCTRLModelTFCTRLPreTrainedModel)TFCvtForImageClassification
TFCvtModelTFCvtPreTrainedModel)&TFData2VecVisionForImageClassification'TFData2VecVisionForSemanticSegmentationTFData2VecVisionModelTFData2VecVisionPreTrainedModel)TFDebertaForMaskedLMTFDebertaForQuestionAnswering"TFDebertaForSequenceClassificationTFDebertaForTokenClassificationTFDebertaModelTFDebertaPreTrainedModel)TFDebertaV2ForMaskedLMTFDebertaV2ForMultipleChoiceTFDebertaV2ForQuestionAnswering$TFDebertaV2ForSequenceClassification!TFDebertaV2ForTokenClassificationTFDebertaV2ModelTFDebertaV2PreTrainedModel)TFDeiTForImageClassification'TFDeiTForImageClassificationWithTeacherTFDeiTForMaskedImageModelingTFDeiTModelTFDeiTPreTrainedModel)'TFEfficientFormerForImageClassification2TFEfficientFormerForImageClassificationWithTeacherTFEfficientFormerModel TFEfficientFormerPreTrainedModel)TFAdaptiveEmbedding$TFTransfoXLForSequenceClassificationTFTransfoXLLMHeadModelTFTransfoXLMainLayerTFTransfoXLModelTFTransfoXLPreTrainedModel)TFDistilBertForMaskedLMTFDistilBertForMultipleChoice TFDistilBertForQuestionAnswering%TFDistilBertForSequenceClassification"TFDistilBertForTokenClassificationTFDistilBertMainLayerTFDistilBertModelTFDistilBertPreTrainedModel)TFDPRContextEncoderTFDPRPretrainedContextEncoderTFDPRPretrainedQuestionEncoderTFDPRPretrainedReaderTFDPRQuestionEncoderTFDPRReader)TFElectraForMaskedLMTFElectraForMultipleChoiceTFElectraForPreTrainingTFElectraForQuestionAnswering"TFElectraForSequenceClassificationTFElectraForTokenClassificationTFElectraModelTFElectraPreTrainedModelTFEncoderDecoderModel)TFEsmForMaskedLMTFEsmForSequenceClassificationTFEsmForTokenClassification
TFEsmModelTFEsmPreTrainedModel)TFFlaubertForMultipleChoice$TFFlaubertForQuestionAnsweringSimple#TFFlaubertForSequenceClassification TFFlaubertForTokenClassificationTFFlaubertModelTFFlaubertPreTrainedModelTFFlaubertWithLMHeadModel)	TFFunnelBaseModelTFFunnelForMaskedLMTFFunnelForMultipleChoiceTFFunnelForPreTrainingTFFunnelForQuestionAnswering!TFFunnelForSequenceClassificationTFFunnelForTokenClassificationTFFunnelModelTFFunnelPreTrainedModel)TFGPT2DoubleHeadsModelTFGPT2ForSequenceClassificationTFGPT2LMHeadModelTFGPT2MainLayerTFGPT2ModelTFGPT2PreTrainedModel)TFGPTJForCausalLMTFGPTJForQuestionAnsweringTFGPTJForSequenceClassificationTFGPTJModelTFGPTJPreTrainedModel)TFGroupViTModelTFGroupViTPreTrainedModelTFGroupViTTextModelTFGroupViTVisionModel)TFHubertForCTCTFHubertModelTFHubertPreTrainedModel)TFIdeficsForVisionText2TextTFIdeficsModelTFIdeficsPreTrainedModel)TFLayoutLMForMaskedLMTFLayoutLMForQuestionAnswering#TFLayoutLMForSequenceClassification TFLayoutLMForTokenClassificationTFLayoutLMMainLayerTFLayoutLMModelTFLayoutLMPreTrainedModel) TFLayoutLMv3ForQuestionAnswering%TFLayoutLMv3ForSequenceClassification"TFLayoutLMv3ForTokenClassificationTFLayoutLMv3ModelTFLayoutLMv3PreTrainedModel)TFLEDForConditionalGeneration
TFLEDModelTFLEDPreTrainedModel)TFLongformerForMaskedLMTFLongformerForMultipleChoice TFLongformerForQuestionAnswering%TFLongformerForSequenceClassification"TFLongformerForTokenClassificationTFLongformerModelTFLongformerPreTrainedModel)TFLxmertForPreTrainingTFLxmertMainLayerTFLxmertModelTFLxmertPreTrainedModelTFLxmertVisualFeatureEncoder)TFMarianModelTFMarianMTModelTFMarianPreTrainedModel)TFMBartForConditionalGenerationTFMBartModelTFMBartPreTrainedModel)TFMistralForCausalLM"TFMistralForSequenceClassificationTFMistralModelTFMistralPreTrainedModel)
TFMobileBertForMaskedLMTFMobileBertForMultipleChoice%TFMobileBertForNextSentencePredictionTFMobileBertForPreTraining TFMobileBertForQuestionAnswering%TFMobileBertForSequenceClassification"TFMobileBertForTokenClassificationTFMobileBertMainLayerTFMobileBertModelTFMobileBertPreTrainedModel)!TFMobileViTForImageClassification"TFMobileViTForSemanticSegmentationTFMobileViTModelTFMobileViTPreTrainedModel)TFMPNetForMaskedLMTFMPNetForMultipleChoiceTFMPNetForQuestionAnswering TFMPNetForSequenceClassificationTFMPNetForTokenClassificationTFMPNetMainLayerTFMPNetModelTFMPNetPreTrainedModel)TFMT5EncoderModelTFMT5ForConditionalGeneration
TFMT5Model)TFOpenAIGPTDoubleHeadsModel$TFOpenAIGPTForSequenceClassificationTFOpenAIGPTLMHeadModelTFOpenAIGPTMainLayerTFOpenAIGPTModelTFOpenAIGPTPreTrainedModel)TFOPTForCausalLM
TFOPTModelTFOPTPreTrainedModel)!TFPegasusForConditionalGenerationTFPegasusModelTFPegasusPreTrainedModel)
TFRagModelTFRagPreTrainedModelTFRagSequenceForGenerationTFRagTokenForGeneration)TFRegNetForImageClassificationTFRegNetModelTFRegNetPreTrainedModel)TFRemBertForCausalLMTFRemBertForMaskedLMTFRemBertForMultipleChoiceTFRemBertForQuestionAnswering"TFRemBertForSequenceClassificationTFRemBertForTokenClassificationTFRemBertModelTFRemBertPreTrainedModel)TFResNetForImageClassificationTFResNetModelTFResNetPreTrainedModel)	TFRobertaForCausalLMTFRobertaForMaskedLMTFRobertaForMultipleChoiceTFRobertaForQuestionAnswering"TFRobertaForSequenceClassificationTFRobertaForTokenClassificationTFRobertaMainLayerTFRobertaModelTFRobertaPreTrainedModel)	 TFRobertaPreLayerNormForCausalLM TFRobertaPreLayerNormForMaskedLM&TFRobertaPreLayerNormForMultipleChoice)TFRobertaPreLayerNormForQuestionAnswering.TFRobertaPreLayerNormForSequenceClassification+TFRobertaPreLayerNormForTokenClassificationTFRobertaPreLayerNormMainLayerTFRobertaPreLayerNormModel$TFRobertaPreLayerNormPreTrainedModel)TFRoFormerForCausalLMTFRoFormerForMaskedLMTFRoFormerForMultipleChoiceTFRoFormerForQuestionAnswering#TFRoFormerForSequenceClassification TFRoFormerForTokenClassificationTFRoFormerModelTFRoFormerPreTrainedModel
TFSamModelTFSamPreTrainedModel)TFSegformerDecodeHead!TFSegformerForImageClassification"TFSegformerForSemanticSegmentationTFSegformerModelTFSegformerPreTrainedModel)%TFSpeech2TextForConditionalGenerationTFSpeech2TextModelTFSpeech2TextPreTrainedModel)#TFSwiftFormerForImageClassificationTFSwiftFormerModelTFSwiftFormerPreTrainedModel)TFSwinForImageClassificationTFSwinForMaskedImageModelingTFSwinModelTFSwinPreTrainedModel)TFT5EncoderModelTFT5ForConditionalGeneration	TFT5ModelTFT5PreTrainedModel)TFTapasForMaskedLMTFTapasForQuestionAnswering TFTapasForSequenceClassificationTFTapasModelTFTapasPreTrainedModelTFVisionEncoderDecoderModelTFVisionTextDualEncoderModel)TFViTForImageClassification
TFViTModelTFViTPreTrainedModel)TFViTMAEForPreTrainingTFViTMAEModelTFViTMAEPreTrainedModel)TFWav2Vec2ForCTC#TFWav2Vec2ForSequenceClassificationTFWav2Vec2ModelTFWav2Vec2PreTrainedModel)!TFWhisperForConditionalGenerationTFWhisperModelTFWhisperPreTrainedModel)TFXGLMForCausalLMTFXGLMModelTFXGLMPreTrainedModel)TFXLMForMultipleChoiceTFXLMForQuestionAnsweringSimpleTFXLMForSequenceClassificationTFXLMForTokenClassificationTFXLMMainLayer
TFXLMModelTFXLMPreTrainedModelTFXLMWithLMHeadModel)TFXLMRobertaForCausalLMTFXLMRobertaForMaskedLMTFXLMRobertaForMultipleChoice TFXLMRobertaForQuestionAnswering%TFXLMRobertaForSequenceClassification"TFXLMRobertaForTokenClassificationTFXLMRobertaModelTFXLMRobertaPreTrainedModel)TFXLNetForMultipleChoice!TFXLNetForQuestionAnsweringSimple TFXLNetForSequenceClassificationTFXLNetForTokenClassificationTFXLNetLMHeadModelTFXLNetMainLayerTFXLNetModelTFXLNetPreTrainedModel)AdamWeightDecayGradientAccumulatorWarmUpcreate_optimizeroptimization_tftf_utils)dummy_tf_objectszutils.dummy_tf_objectsPop2PianoFeatureExtractorPop2PianoTokenizerPop2PianoProcessor)Fdummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectszLutils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectsMusicgenMelodyFeatureExtractorMusicgenMelodyProcessor)dummy_torchaudio_objectszutils.dummy_torchaudio_objects)!FlaxForcedBOSTokenLogitsProcessor!FlaxForcedEOSTokenLogitsProcessorFlaxForceTokensLogitsProcessorFlaxGenerationMixinFlaxLogitsProcessorFlaxLogitsProcessorListFlaxLogitsWarperFlaxMinLengthLogitsProcessorFlaxTemperatureLogitsWarper(FlaxSuppressTokensAtBeginLogitsProcessor!FlaxSuppressTokensLogitsProcessorFlaxTopKLogitsWarperFlaxTopPLogitsWarper#FlaxWhisperTimeStampLogitsProcessormodeling_flax_outputsFlaxPreTrainedModelmodeling_flax_utils)FlaxAlbertForMaskedLMFlaxAlbertForMultipleChoiceFlaxAlbertForPreTrainingFlaxAlbertForQuestionAnswering#FlaxAlbertForSequenceClassification FlaxAlbertForTokenClassificationFlaxAlbertModelFlaxAlbertPreTrainedModel)+FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING FLAX_MODEL_FOR_CAUSAL_LM_MAPPING+FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING FLAX_MODEL_FOR_MASKED_LM_MAPPING&FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING/FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING"FLAX_MODEL_FOR_PRETRAINING_MAPPING)FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING+FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING'FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING+FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING#FLAX_MODEL_FOR_VISION_2_SEQ_MAPPINGFLAX_MODEL_MAPPINGFlaxAutoModelFlaxAutoModelForCausalLM#FlaxAutoModelForImageClassificationFlaxAutoModelForMaskedLMFlaxAutoModelForMultipleChoice&FlaxAutoModelForNextSentencePredictionFlaxAutoModelForPreTraining!FlaxAutoModelForQuestionAnsweringFlaxAutoModelForSeq2SeqLM&FlaxAutoModelForSequenceClassificationFlaxAutoModelForSpeechSeq2Seq#FlaxAutoModelForTokenClassificationFlaxAutoModelForVision2Seq)FlaxBartDecoderPreTrainedModelFlaxBartForCausalLM FlaxBartForConditionalGenerationFlaxBartForQuestionAnswering!FlaxBartForSequenceClassificationFlaxBartModelFlaxBartPreTrainedModel)FlaxBeitForImageClassificationFlaxBeitForMaskedImageModelingFlaxBeitModelFlaxBeitPreTrainedModel)
FlaxBertForCausalLMFlaxBertForMaskedLMFlaxBertForMultipleChoice!FlaxBertForNextSentencePredictionFlaxBertForPreTrainingFlaxBertForQuestionAnswering!FlaxBertForSequenceClassificationFlaxBertForTokenClassificationFlaxBertModelFlaxBertPreTrainedModel)	FlaxBigBirdForCausalLMFlaxBigBirdForMaskedLMFlaxBigBirdForMultipleChoiceFlaxBigBirdForPreTrainingFlaxBigBirdForQuestionAnswering$FlaxBigBirdForSequenceClassification!FlaxBigBirdForTokenClassificationFlaxBigBirdModelFlaxBigBirdPreTrainedModel)&FlaxBlenderbotForConditionalGenerationFlaxBlenderbotModelFlaxBlenderbotPreTrainedModel)+FlaxBlenderbotSmallForConditionalGenerationFlaxBlenderbotSmallModel"FlaxBlenderbotSmallPreTrainedModel)FlaxBloomForCausalLMFlaxBloomModelFlaxBloomPreTrainedModel)FlaxCLIPModelFlaxCLIPPreTrainedModelFlaxCLIPTextModelFlaxCLIPTextPreTrainedModelFlaxCLIPTextModelWithProjectionFlaxCLIPVisionModelFlaxCLIPVisionPreTrainedModel)FlaxDinov2Model FlaxDinov2ForImageClassificationFlaxDinov2PreTrainedModel)FlaxDistilBertForMaskedLMFlaxDistilBertForMultipleChoice"FlaxDistilBertForQuestionAnswering'FlaxDistilBertForSequenceClassification$FlaxDistilBertForTokenClassificationFlaxDistilBertModelFlaxDistilBertPreTrainedModel)	FlaxElectraForCausalLMFlaxElectraForMaskedLMFlaxElectraForMultipleChoiceFlaxElectraForPreTrainingFlaxElectraForQuestionAnswering$FlaxElectraForSequenceClassification!FlaxElectraForTokenClassificationFlaxElectraModelFlaxElectraPreTrainedModelFlaxEncoderDecoderModel)FlaxGPT2LMHeadModelFlaxGPT2ModelFlaxGPT2PreTrainedModel)FlaxGPTNeoForCausalLMFlaxGPTNeoModelFlaxGPTNeoPreTrainedModel)FlaxGPTJForCausalLMFlaxGPTJModelFlaxGPTJPreTrainedModel)FlaxLlamaForCausalLMFlaxLlamaModelFlaxLlamaPreTrainedModel)FlaxGemmaForCausalLMFlaxGemmaModelFlaxGemmaPreTrainedModel)"FlaxLongT5ForConditionalGenerationFlaxLongT5ModelFlaxLongT5PreTrainedModel)FlaxMarianModelFlaxMarianMTModelFlaxMarianPreTrainedModel)!FlaxMBartForConditionalGenerationFlaxMBartForQuestionAnswering"FlaxMBartForSequenceClassificationFlaxMBartModelFlaxMBartPreTrainedModel)FlaxMistralForCausalLMFlaxMistralModelFlaxMistralPreTrainedModel)FlaxMT5EncoderModelFlaxMT5ForConditionalGenerationFlaxMT5Model)FlaxOPTForCausalLMFlaxOPTModelFlaxOPTPreTrainedModel)#FlaxPegasusForConditionalGenerationFlaxPegasusModelFlaxPegasusPreTrainedModel) FlaxRegNetForImageClassificationFlaxRegNetModelFlaxRegNetPreTrainedModel) FlaxResNetForImageClassificationFlaxResNetModelFlaxResNetPreTrainedModel)FlaxRobertaForCausalLMFlaxRobertaForMaskedLMFlaxRobertaForMultipleChoiceFlaxRobertaForQuestionAnswering$FlaxRobertaForSequenceClassification!FlaxRobertaForTokenClassificationFlaxRobertaModelFlaxRobertaPreTrainedModel)"FlaxRobertaPreLayerNormForCausalLM"FlaxRobertaPreLayerNormForMaskedLM(FlaxRobertaPreLayerNormForMultipleChoice+FlaxRobertaPreLayerNormForQuestionAnswering0FlaxRobertaPreLayerNormForSequenceClassification-FlaxRobertaPreLayerNormForTokenClassificationFlaxRobertaPreLayerNormModel&FlaxRobertaPreLayerNormPreTrainedModel)FlaxRoFormerForMaskedLMFlaxRoFormerForMultipleChoice FlaxRoFormerForQuestionAnswering%FlaxRoFormerForSequenceClassification"FlaxRoFormerForTokenClassificationFlaxRoFormerModelFlaxRoFormerPreTrainedModelFlaxSpeechEncoderDecoderModel)FlaxT5EncoderModelFlaxT5ForConditionalGenerationFlaxT5ModelFlaxT5PreTrainedModelFlaxVisionEncoderDecoderModelFlaxVisionTextDualEncoderModel)FlaxViTForImageClassificationFlaxViTModelFlaxViTPreTrainedModel)FlaxWav2Vec2ForCTCFlaxWav2Vec2ForPreTrainingFlaxWav2Vec2ModelFlaxWav2Vec2PreTrainedModel)#FlaxWhisperForConditionalGenerationFlaxWhisperModelFlaxWhisperPreTrainedModel!FlaxWhisperForAudioClassification)FlaxXGLMForCausalLMFlaxXGLMModelFlaxXGLMPreTrainedModel)FlaxXLMRobertaForMaskedLMFlaxXLMRobertaForMultipleChoice"FlaxXLMRobertaForQuestionAnswering'FlaxXLMRobertaForSequenceClassification$FlaxXLMRobertaForTokenClassificationFlaxXLMRobertaModelFlaxXLMRobertaForCausalLMFlaxXLMRobertaPreTrainedModel)dummy_flax_objectszutils.dummy_flax_objects)r0   )rV   )rX   rY   )rb   )rr   )r|   )r   r   )r   )r   r   )r   )r   )r   )r   )r   )r   r   )r   )r   r   )r   r   )r   )r   r   )r   )r   )r   r   )r   r   )r   )r   )r   r   )r   )r   )r   r   )r   r   )r   )r   r   )r   )r   r   )r   )r   )r   )r   )r   )r   )r   )r   r   )r   )r   )r  )r  )r  )r  )r  )r  r  )r  r	  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r  r  )r%  )r&  )r'  r(  )r)  r*  )r+  )r,  )r-  r.  )r/  )r0  )r5  r6  )r<  )r=  )r>  r?  )r@  rA  )rB  )rC  )rD  )rH  )rI  )rJ  rK  )rL  )rM  )rN  )rO  )rP  )rQ  )rR  )rS  rT  )rX  )rY  )rZ  )r[  )r\  )r]  )r^  )r_  )r`  )ra  )rj  )rk  )rl  rm  )rn  ro  )rz  )r{  r|  )r}  )r~  )r  )r  r  )r  r  )r  r  )r  r  )r  r  )r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  )r  r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  r  )r  )r  )r  r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  r  )r  r  )r  r   )r  )r
  )r  )r  )r  )r  )r  )r  r  )r  r  )r  )r   )r!  )r"  )r#  )r$  )r%  )r&  )r'  )r(  )r)  r*  )r+  )r,  )r-  )r.  r/  )r0  r1  )r2  r3  )r4  )r5  )r6  )r7  r8  )r9  )r:  )r;  )r@  )rA  )rB  rC  )rD  )rE  )rF  )rG  )rH  )rI  )rJ  rK  )rL  )rR  rS  )rT  )rU  )rV  )rW  )r`  )ra  rb  )rc  )rd  )re  )rf  )rg  )rh  )ri  )rj  )r  )r  )r  )r  )r  ),r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r
   r   r  r  r  r  r  r  r   r   r  r   r   r   r   r   r   r  r  r  r  r  r  r  r   r   r   )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )*)r  )r  )r  )r  )r  )r  )r  )r  )r	  )r
  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r   )r!  )r"  )r#  )r$  )r%  )r&  )r'  )r(  )r)  )r*  )r+  )r,  )r-  )r.  )r/  )r0  )r1  )r2  )r3  )r4  )r5  )r6  )r7  )r8  )r9  )r:  )r;  )r<  )r=  )r>  )r?  )r@  )rA  )rD  rE  )rG  )rI  )rK  )rM  )rO  )rQ  rR  )rS  )rT  )rU  )rV  )rW  rX  )rY  rZ  )r[  r\  )r]  r^  )r_  r`  )ra  rb  )rc  )rd  )re  )rf  )rg  rh  )ri  rj  )rk  rl  )rm  )rq  rr  )rs  rt  )ru  )rv  )rw  )rx  )ry  rz  )r{  )rq  rr  )rv  rw  )r|  r}  )r~  )r  )r  r  )r  )r  r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r	  )r  )Rr!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r3  r1  r2  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  )r|  r}  r~  r  r  r  r  r  )r-  r.  )r  r  )r  r  )r  r  )r  r  )r  r  )r  r  )r  )r<  r=  )r  r  )r  r  )r  r  )r  r  )r0  r1  )r  r  )r  r  )r  r  )rj  rk  )r  )r  r  )r  )r  r  )r  )r  r  )r	  r	  )r	  )r	  )r%	  r&	  )r'	  r(	  )r	  r	  )r	  )r	  )r	  )r	  )r	  )r	  r	  ),r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  )rh
  )r	  r
  )r#  )r$  )rT  rV  rU  )rX  rY  )r[  r\  r]  r^  r_  r`  ra  rb  rd  re  rc  rf  rg  rh  )rj  )r  r  r  r  r  r  r  )r  r  r  )r  )r  )r  )r  )r%  r"  r#  r$  )r/  r)  r*  r+  r,  r-  r.  r0  N__file____version__)module_specextra_objectszNone of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.(]  r4  typingr    r   r  r   r   r   r	   r
   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   
get_logger__name__logger_import_structureappendr  dir
startswithextendrC  rF  rH  rJ  r  r  r	  rS  rW  rZ  r1  r   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r/   r0   r4   r5   r6   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   rE   rF   data.data_collatorrG   rH   rI   rJ   rK   rL   rM   rN   rO   rP   rQ   rU   rV   rW   rX   rY   r[   r\   r]   r^   r_   r`   ra   rb   re   rf   rg   rh   ri   rj   rk   rl   rm   rn   ro   rq   rr   rs   rt   ru   rv   rw   rx   ry   rz   models.albertr|   models.alignr}   r~   r   r   models.altclipr   r   r   r   $models.audio_spectrogram_transformerr   r   models.autor   r   r   r   r   r   r   r   r   r   r   models.autoformerr   models.barkr   r   r   r   r   models.bartr   r   models.beitr   models.bertr   r   r   r   models.bert_generationr   models.bert_japaneser   r   r   models.bertweetr   models.big_birdr   models.bigbird_pegasusr   models.biogptr   r   
models.bitr   models.blenderbotr   r   models.blenderbot_smallr   r   models.blipr   r   r   r   models.blip_2r   r   r   r   models.bloomr   models.bridgetowerr   r   r   r   models.brosr   r   models.byt5r   models.camembertr   models.caniner   r   models.chameleonr   r   r   models.chinese_clipr   r   r   r   models.clapr   r   r   r   models.clipr   r   r   r   r   models.clipsegr   r   r   r   models.clvpr   r   r   r   r   r   models.codegenr   r   models.coherer   models.conditional_detrr   models.convbertr   r   models.convnextr   models.convnextv2r   models.cpmantr   r   models.ctrlr   r   
models.cvtr   
models.dacr   r   models.data2vecr   r   r   models.dbrxr   models.debertar   r   models.deberta_v2r   models.decision_transformerr   models.deformable_detrr   models.deitr   models.deprecated.detar   !models.deprecated.efficientformerr   models.deprecated.ernie_mr   !models.deprecated.gptsan_japaneser   r   models.deprecated.graphormerr   models.deprecated.jukeboxr   r   r   r   models.deprecated.mctctr   r   r   models.deprecated.megar   models.deprecated.mmbtr  models.deprecated.natr  models.deprecated.nezhar  models.deprecated.open_llamar  models.deprecated.qdqbertr  models.deprecated.realmr  r  models.deprecated.retribertr  r	  "models.deprecated.speech_to_text_2r
  r  r  models.deprecated.tapexr  (models.deprecated.trajectory_transformerr  models.deprecated.transfo_xlr  r  r  models.deprecated.tvltr  r  r  models.deprecated.vanr  models.deprecated.vit_hybridr   models.deprecated.xlm_prophetnetr  models.depth_anythingr  models.detrr  models.dinatr  models.dinov2r  models.distilbertr  r  models.donutr  r  
models.dprr   r!  r"  r#  r$  
models.dptr%  models.efficientnetr&  models.electrar'  r(  models.encodecr)  r*  models.encoder_decoderr+  models.ernier,  
models.esmr-  r.  models.falconr/  models.falcon_mambar0  models.fastspeech2_conformerr1  r2  r3  r4  models.flaubertr5  r6  models.flavar7  r8  r9  r:  r;  models.fnetr<  models.focalnetr=  models.fsmtr>  r?  models.funnelr@  rA  models.fuyurB  models.gemmarC  models.gemma2rD  
models.gitrE  rF  rG  
models.glmrH  models.glpnrI  models.gpt2rJ  rK  models.gpt_bigcoderL  models.gpt_neorM  models.gpt_neoxrN  models.gpt_neox_japaneserO  models.gptjrP  models.graniterQ  models.granitemoerR  models.grounding_dinorS  rT  models.groupvitrU  rV  rW  models.herbertrX  models.hierarY  models.hubertrZ  models.ibertr[  models.ideficsr\  models.idefics2r]  models.idefics3r^  models.ijepar_  models.imagegptr`  models.informerra  models.instructbliprb  rc  rd  re  models.instructblipvideorf  rg  rh  ri  models.jambarj  models.jetmoerk  models.kosmos2rl  rm  models.layoutlmrn  ro  models.layoutlmv2rp  rq  rr  rs  rt  models.layoutlmv3ru  rv  rw  rx  ry  models.layoutxlmrz  
models.ledr{  r|  models.levitr}  models.liltr~  models.llamar  models.llavar  r  models.llava_nextr  r  models.llava_next_videor  r  models.llava_onevisionr  r  models.longformerr  r  models.longt5r  models.luker  r  models.lxmertr  r  models.m2m_100r  models.mambar  models.mamba2r  models.marianr  models.markuplmr  r  r  r  models.mask2formerr  models.maskformerr  r  models.mbartr  models.megatron_bertr  models.mgp_strr  r  r  models.mimir  models.mistralr  models.mixtralr  models.mllamar  r  models.mobilebertr  r  models.mobilenet_v1r  models.mobilenet_v2r  models.mobilevitr  models.mobilevitv2r  models.moshir  r  models.mpnetr  r  
models.mptr  
models.mrar  
models.mt5r  models.musicgenr  r  models.musicgen_melodyr  r  
models.mvpr  r  models.myt5r  models.nemotronr  models.nllb_moer  models.nougatr  models.nystromformerr  models.olmor  models.olmo2r  models.olmoer  models.omdet_turbor  r  models.oneformerr  r  models.openair  r  
models.optr  models.owlv2r  r  r  r  models.owlvitr  r  r  r  models.paligemmar  models.patchtsmixerr  models.patchtstr  models.pegasusr  r  models.pegasus_xr  models.perceiverr  r  models.persimmonr  
models.phir  models.phi3r  models.phimoer  models.phobertr  models.pix2structr  r  r  r  models.pixtralr  r  models.plbartr  models.poolformerr  models.pop2pianor  models.prophetnetr  r  
models.pvtr  models.pvt_v2r  models.qwen2r  r  models.qwen2_audior  r  r  models.qwen2_moer  models.qwen2_vlr  r  
models.ragr  r  r  models.recurrent_gemmar  models.reformerr  models.regnetr  models.rembertr  models.resnetr  models.robertar  r  models.roberta_prelayernormr  models.roc_bertr  r  models.roformerr  r  models.rt_detrr  r   models.rwkvr  
models.samr  r  r  r  r  models.seamless_m4tr  r  r	  models.seamless_m4t_v2r
  models.segformerr  models.seggptr  
models.sewr  models.sew_dr  models.siglipr  r  r  r  models.speech_encoder_decoderr  models.speech_to_textr  r  r  models.speecht5r  r  r  r  models.splinterr  r  models.squeezebertr  r  models.stablelmr  models.starcoder2r   models.superpointr!  models.swiftformerr"  models.swinr#  models.swin2srr$  models.swinv2r%  models.switch_transformersr&  	models.t5r'  models.table_transformerr(  models.tapasr)  r*  models.time_series_transformerr+  models.timesformerr,  models.timm_backboner-  models.trocrr.  r/  
models.tvpr0  r1  models.udopr2  r3  models.umt5r4  models.unispeechr5  models.unispeech_satr6  models.univnetr7  r8  models.upernetr9  models.video_llavar:  models.videomaer;  models.viltr<  r=  r>  r?  models.vipllavar@  models.vision_encoder_decoderrA  models.vision_text_dual_encoderrB  rC  models.visual_bertrD  
models.vitrE  models.vit_maerF  models.vit_msnrG  models.vitdetrH  models.vitmatterI  models.vitsrJ  rK  models.vivitrL  models.wav2vec2rM  rN  rO  rP  rQ  models.wav2vec2_bertrR  rS  models.wav2vec2_conformerrT  models.wav2vec2_phonemerU  models.wav2vec2_with_lmrV  models.wavlmrW  models.whisperrX  rY  rZ  r[  models.x_clipr\  r]  r^  r_  models.xglmr`  
models.xlmra  rb  models.xlm_robertarc  models.xlm_roberta_xlrd  models.xlnetre  models.xmodrf  models.yolosrg  models.yosorh  models.zambari  models.zoedepthrj  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  utils.quantization_configr  r  r  r  r  r  r  r  r  r  r  r  models.barthezr  models.bartphor  r  r  r  models.code_llamar  
models.cpmr  r  r  r  r  r  models.gpt_sw3r  r  r  r  r  r  models.mbart50r  models.mluker  r  models.nllbr  r  r  r  r  r  r  r  r  r  r  r  r  !utils.dummy_sentencepiece_objectsr  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rB  rA  utils.dummy_tokenizers_objectsrE  rD  2utils.dummies_sentencepiece_and_tokenizers_objectsrG  #utils.dummy_tensorflow_text_objectsrI  utils.dummy_keras_nlp_objectsrL  rK  rN  rM  rP  rO  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  utils.dummy_vision_objectsr  r  r  r  r  r  r  utils.dummy_torchvision_objectsbenchmark.benchmarkr  benchmark.benchmark_argsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  data.datasetsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  integrations.executorchr  r  r
  r	  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r3  r1  r2  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r 	  r	  r	  r	  r	  r	  r	  r	  r	  r		  r
	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r 	  r!	  r"	  r#	  r$	  r%	  r&	  r'	  r(	  r)	  r*	  r+	  r,	  r-	  r.	  r/	  r0	  r1	  r2	  r3	  r4	  r5	  r6	  r7	  r8	  r9	  r:	  r;	  r<	  r=	  r>	  r?	  r@	  rA	  rB	  rC	  rD	  rE	  rF	  rG	  rH	  rI	  rJ	  rK	  rL	  rM	  rN	  rO	  rP	  rQ	  rR	  rS	  rT	  rU	  rV	  rW	  rX	  rY	  rZ	  r[	  r\	  r]	  r^	  r_	  r`	  ra	  rb	  rc	  rd	  re	  rf	  rg	  rh	  ri	  rj	  rk	  rl	  rm	  rn	  ro	  rp	  rq	  rr	  rs	  rt	  ru	  rv	  rw	  rx	  ry	  rz	  r{	  r|	  r}	  r~	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  utils.dummy_pt_objectsbenchmark.benchmark_args_tfr	  benchmark.benchmark_tfr	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r 
  r
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  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rQ  rM  rN  rO  rP  utils.dummy_tf_objectsrT  rV  rU  Lutils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectsrX  rY  utils.dummy_torchaudio_objectsr[  r\  r]  r^  r_  r`  ra  rb  rd  re  rc  rf  rg  rh  rk  rj  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r%  r"  r#  r$  r&  r'  r(  r/  r)  r*  r+  r,  r-  r.  r0  utils.dummy_flax_objectssysglobals__spec__moduleswarning_advice)names   0H/var/www/html/venv/lib/python3.12/site-packages/transformers/__init__.py<module>r     s  *    (     2 
		H	%g g& 2'g( )g* +g, ./-g. R/g0 221g2 03g4  5g\  ]gv Bwgx rygz 2{g|  }g~  g@ BAgB (*D)ECgD 1I JEgF "GgH  IgV '(WgX RYgZ [g\  ]gt Bugv +wgz   "{gN bOgP n%QgR  Sg^  _gj +-kgr  sgL ,-MgN  Og\ L/2]g^ b_g` bagb L>cgd  egp 56qgr  sg| +,}g~ (g@ 56AgB CgJ ;-KgL MgT " Ug\  ]gh  igt ]Ougv  wgB CgJ O$KgL *+MgN OgV  Wg`  agl  mgx  ygF  GgR  Sgb cgd egl n%mgn  78ogp qgx ()ygz ,-{g| "}g~ gF GgN ;-OgP ; 56QgR  Sg\ L>]g^ _gf +,ggh "$?#@igj 56kgl L>mgn ogp bqgr |nsgt (*A)Bugv  .!1wgx (!*yg@	 #%7$8A	gB	   "C	gN	   O	gX	 |nY	gZ	 |n[	g\	 k]]	g^	 _	g`	 #%6$7a	gb	  /!2c	gd	  e	gl	 "$m	gt	 ) +u	g~	  01	g@
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gF ;-GgH 01IgJ KgR !SgZ 56[g\ ]O]g^ ;/_g` n%agb /0cgd # %egp (*=>qgr  sg@ L>AgB ()CgD EgL MgT L>UgV ]OWgX n%YgZ  [gd ;-egf L>ggh igp -.qgr ~&sgt (ugv !8 9wgx bygz L>{g| '}g~ ,-g@  AgH  IgR )*SgT ]OUgV n%WgX ]OYgZ '[g\ ()]g^ ()_g` ]Oagb ()cgd ()egf  ggr  !sg~ ]Og@ n%AgB CgJ KgR  Sg`  agn -.ogp ;/qgr ]Osgt L>ugv ]Owgx yg@ AgH ! IgP 57PQQgR SgZ n%[g\ ]gd egl ~&mgn ]Oogp n%qgr n%sgt  ug@ ./AgB CgJ ]OKgL bMgN 12OgP BQgR  Sg\ L>]g^ '_g` 'agb cgj Bkgl mgt /0ugv /0wgx *+ygz ./{g| }gD EgL ;-MgN ;-OgP ;-QgR SgZ %[gb ;/cgd O$egf ()ggh 2igj (kgl '(mgn 23ogp L>qgr ]Osgt ]Ougv wg~ gF GgN ;-OgP  Qg\  ]gh *+igj 01kgl ()mgn ogv )*wgx yg@ *+AgB ;-CgD L>EgF n%GgH )*IgJ  KgV )+@AWgX n%YgZ ,-[g\ *+]g^ _gf ;-ggh m_igj kgr  sg| )*}g~ gF ?GgH 56IgJ ()KgL n%MgN 'OgP n%QgR SgZ "$?#@[g\ ]gd egl ~';<mgn L>ogp  qg~  gH 45IgJ *+KgL n%MgN ;-OgP \NQgR  Sg^ $&B%C_g`  agj  kgv wg~ gF ()GgH ,-IgJ ,-KgL ./MgN L>OgP 'QgR n%SgT !#=">UgV *WgX !9 :YgZ [gb %'D&Ecgd ./egf 12ggh igp qgx yg@ L>AgB *+CgD 12EgF !GgN 'OgP -.QgR ()SgT  Ug` ()agb $&B%Ccgd &%((egl -.mgn ;-ogp ~&qgr ~&sgt n%ugv ()wgx yg@ ]OAgB  CgP QgX  ";!<YgZ  =>[g\  9:]g^ ]O_g`  agl  mgx L>ygz ;/{g| -.}g~ 23g@ ]OAgB L>CgD ]OEgF L>GgH ]OIgJ ()KgL BMgN  %OgZ )*[g\ "]g^ R_g` 01agb   cgr  sgD  EgR )*SgT 89UgV ./WgX  -Ygt   "ug T-?%',.. ( o&--.?@&'../AB&'../AB./667PQ'(//0BC()001EF)*112FGl#**>:)*112FG1299:KL89@@AYZm$++O<n%,,-=>&'../@A()001EFn%,,-=>&'../@Ao&--.?@n%,,-=>&'../ABn%,,-=>l#**>:m$++O<&'../ABo&--.?@'(//0CD&'../AB+,334JKo&--.?@-.556LM'(//0CDk"))-8m$++O<m$++O<*+223HIn%,,-=>OO"$,.. % o&--.CDm$++,?@&'../EFm$++,?@'(//0FG)*112KL/0778VWn%,,-AB()001IJm$++,?@)*112JK&'../EFo&--.CD'(//0GHl#**+=>&'../EF)*112JK/0778LM34;;<TU)*112KLl#**	
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 &(k"-/)*$-;i -K,L(),<+='(q
',..  +-&'8V7W343H2I./l#**	
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,'( %'j!G!#  $&,.. ' ()001LM()001EF()001EFR"$,.. % ./667WX./667PQN,..  l#**	
$ 24-.0E/F+,o&--		
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 m$++	
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 ./667PQm$++,op&'..Q m$++,opn%,,-stn%,,-sto&--	
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 56==>]^k"))	
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     $ 6    (    L ON ts.   %   ,        76'  = 
 3.  &     *   +  
        ,+   0/    &%   
 ('     ('22  87  ?>    
 32220044  98    
 87   
  
 10   ;:''))++      &%    =<))33++66   CB    ('//   ('))++  
 &%''   -,..  ('--33   
 10))++))  0///))////     *)++         5433))''))      ,+   -,))++++     *)   
  .---         &%%%%%   43**//....  ('))))    &%       0/     &%''++00    ,+    &%**99  
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