sg=LdZddlmZejeZGddZy)zMMBT configuration)loggingceZdZdZddZy) MMBTConfigaN This is the configuration class to store the configuration of a [`MMBTModel`]. It is used to instantiate a MMBT model according to the specified arguments, defining the model architecture. Args: config ([`PreTrainedConfig`]): Config of the underlying Transformer models. Its values are copied over to use a single config. num_labels (`int`, *optional*): Size of final Linear layer for classification. modal_hidden_size (`int`, *optional*, defaults to 2048): Embedding dimension of the non-text modality encoder. NcH|j|_||_|r||_yy)N)__dict__modal_hidden_size num_labels)selfconfigr rs i/var/www/html/venv/lib/python3.12/site-packages/transformers/models/deprecated/mmbt/configuration_mmbt.py__init__zMMBTConfig.__init__&s$ !2 (DO )Ni)__name__ __module__ __qualname____doc__r rr rrs  )rrN)rutilsr get_loggerrloggerrrrr rs+    H %))r