cCiXRSrSSKJr \R"\5r"SS5rS/rg)zMMBT configuration)loggingc"\rSrSrSrSSjrSrg) MMBTConfiga& 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. NcNURUlX0lU(aX lgg)N__dict__modal_hidden_size num_labels)selfconfigr r s p/home/james-whalen/.local/lib/python3.13/site-packages/transformers/models/deprecated/mmbt/configuration_mmbt.py__init__MMBTConfig.__init__&s  !2 (O r)Ni)__name__ __module__ __qualname____firstlineno____doc__r__static_attributes__rrrrs  )rrN)rutilsr get_loggerrloggerr__all__rrrrs2    H %))* .r