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    ‚ŠtjŠ	  ã                   ó„   — d Z ddlmZ ddlmZ ddlmZ  ed¬¦  «        e G d„ d	e¦  «        ¦   «         ¦   «         Zd	gZd
S )zLiLT configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringz!SCUT-DLVCLab/lilt-roberta-en-base)Ú
checkpointc                   óP  — e Zd ZU dZdZdZeed<   dZeed<   dZ	eed<   dZ
eed	<   d
Zeed<   dZeed<   dZeez  ed<   dZeez  ed<   dZeed<   dZeed<   dZeed<   dZeed<   dZedz  ed<   dZedz  ed<   dZeee         z  dz  ed<   dZeez  dz  ed<   dZeed <   d!Zeed"<   dS )#Ú
LiltConfigaA  
    channel_shrink_ratio (`int`, *optional*, defaults to 4):
        The shrink ratio compared to the `hidden_size` for the channel dimension of the layout embeddings.
    max_2d_position_embeddings (`int`, *optional*, defaults to 1024):
        The maximum value that the 2D position embedding might ever be used with. Typically set this to something
        large just in case (e.g., 1024).

    Examples:

    ```python
    >>> from transformers import LiltConfig, LiltModel

    >>> # Initializing a LiLT SCUT-DLVCLab/lilt-roberta-en-base style configuration
    >>> configuration = LiltConfig()
    >>> # Randomly initializing a model from the SCUT-DLVCLab/lilt-roberta-en-base style configuration
    >>> model = LiltModel(configuration)
    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úlilti:w  Ú
vocab_sizei   Úhidden_sizeé   Únum_hidden_layersÚnum_attention_headsi   Úintermediate_sizeÚgeluÚ
hidden_actgš™™™™™¹?Úhidden_dropout_probÚattention_probs_dropout_probi   Úmax_position_embeddingsé   Útype_vocab_sizeg{®Gáz”?Úinitializer_rangegê-�™—q=Úlayer_norm_epsr   NÚpad_token_idÚbos_token_idÚeos_token_idÚclassifier_dropouté   Úchannel_shrink_ratioi   Úmax_2d_position_embeddings)Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typer   ÚintÚ__annotations__r   r   r   r   r   Ústrr   Úfloatr   r   r   r   r   r   r   r   Úlistr   r   r    © ó    úi/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/lilt/configuration_lilt.pyr	   r	      ss  € € € € € € ðð ð( €Jà€J�ÐÐÑØ€K�ÐÐÑØÐ�sÐÐÑØ!Ð˜Ð!Ð!Ñ!Ø!Ð�sÐ!Ð!Ñ!Ø€J�ÐÐÑØ'*Ð˜ ™Ð*Ð*Ñ*Ø03Ð  %¨#¡+Ð3Ð3Ñ3Ø#&Ð˜SÐ&Ð&Ñ&Ø€O�SÐÐÑØ#Ð�uÐ#Ð#Ñ#Ø!€N�EÐ!Ð!Ñ!Ø €L�#˜‘*Ð Ð Ñ Ø#€L�#˜‘*Ð#Ð#Ñ#Ø+/€L�#˜˜Sœ	‘/ DÑ(Ð/Ð/Ñ/Ø-1Ð˜ ™ dÑ*Ð1Ð1Ñ1Ø !Ð˜#Ð!Ð!Ñ!Ø&*Ð Ð*Ð*Ñ*Ð*Ð*r,   r	   N)	r$   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r+   r,   r-   ú<module>r2      s¢   ðð Ð à .Ð .Ð .Ð .Ð .Ð .à 3Ð 3Ð 3Ð 3Ð 3Ð 3Ø #Ð #Ð #Ð #Ð #Ð #ð €Ð>Ð?Ñ?Ô?Øð(+ð (+ð (+ð (+ð (+Ð!ñ (+ô (+ñ „ñ @Ô?ð(+ðV ˆ.€€€r,   