
    i	                     j    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y
)zLiLT configuration    )strict   )PreTrainedConfig)auto_docstringz!SCUT-DLVCLab/lilt-roberta-en-base)
checkpointc                   H   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"<   y)#
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
    ```lilti:w  
vocab_sizei   hidden_size   num_hidden_layersnum_attention_headsi   intermediate_sizegelu
hidden_actg?hidden_dropout_probattention_probs_dropout_probi   max_position_embeddings   type_vocab_sizeg{Gz?initializer_rangeg-q=layer_norm_epsr   Npad_token_idbos_token_ideos_token_idclassifier_dropout   channel_shrink_ratioi   max_2d_position_embeddings)__name__
__module____qualname____doc__
model_typer   int__annotations__r   r   r   r   r   strr   floatr   r   r   r   r   r   r   r   listr   r   r         |/var/www/vps2.regionflexible.com/Desarrollo/venv/lib/python3.12/site-packages/transformers/models/lilt/configuration_lilt.pyr	   r	      s    ( JJKs!!!s!J'**03 %#+3#&S&OS#u#!NE! L#* #L#*#+/L#S	/D(/-1d*1 !#!&**r,   r	   N)	r$   huggingface_hub.dataclassesr   configuration_utilsr   utilsr   r	   __all__r+   r,   r-   <module>r2      sH     . 3 # >?(+! (+  @(+V .r,   