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    ‚Štj{	  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ConvBERT model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzYituTech/conv-bert-base)Ú
checkpointc                   ó–  — 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d<   dZeed <   d!Zeed"<   dZeed#<   dZeez  dz  ed$<   d%Zeed&<   d%Z eed'<   d(Z!eed)<   dS )*ÚConvBertConfiga¯  
    head_ratio (`int`, *optional*, defaults to 2):
        Ratio gamma to reduce the number of attention heads.
    num_groups (`int`, *optional*, defaults to 1):
        The number of groups for grouped linear layers for ConvBert model

    Example:

    ```python
    >>> from transformers import ConvBertConfig, ConvBertModel

    >>> # Initializing a ConvBERT convbert-base-uncased style configuration
    >>> configuration = ConvBertConfig()

    >>> # Initializing a model (with random weights) from the convbert-base-uncased style configuration
    >>> model = ConvBertModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úconvberti: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_epsé   NÚpad_token_idr   Úbos_token_idÚeos_token_idÚembedding_sizeÚ
head_ratioé	   Úconv_kernel_sizeÚ
num_groupsÚclassifier_dropoutFÚ
is_decoderÚadd_cross_attentionTÚtie_word_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!   r"   r#   r$   Úboolr%   r&   © ó    úq/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/convbert/configuration_convbert.pyr	   r	      sÄ  € € € € € € 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€N�CÐÐÑØ€J�ÐÐÑØÐ�cÐÐÑØ€J�ÐÐÑØ-1Ð˜ ™ dÑ*Ð1Ð1Ñ1Ø€J�ÐÐÑØ %Ð˜Ð%Ð%Ñ%Ø $Ð˜Ð$Ð$Ñ$Ð$Ð$r3   r	   N)	r*   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r2   r3   r4   ú<module>r9      s¢   ðð #Ð "à .Ð .Ð .Ð .Ð .Ð .à 3Ð 3Ð 3Ð 3Ð 3Ð 3Ø #Ð #Ð #Ð #Ð #Ð #ð €Ð4Ð5Ñ5Ô5Øð.%ð .%ð .%ð .%ð .%Ð%ñ .%ô .%ñ „ñ 6Ô5ð.%ðb Ð
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