§
    ‚ŠtjA	  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I-JEPA model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzfacebook/ijepa_vith14_1k)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z  ed<   dZeez  ed<   dZeed<   dZeed<   dZeee         z  eeef         z  ed<   dZeee         z  eeef         z  ed<   dZeed<   dZeed<   dZedz  ed<   dZeed<   ˆ fd„Zˆ xZS ) ÚIJepaConfiga¥  
    pooler_output_size (`int`, *optional*):
        Dimensionality of the pooler layer. If None, defaults to `hidden_size`.
    pooler_act (`str`, *optional*, defaults to `"tanh"`):
        The activation function to be used by the pooler.

    Example:

    ```python
    >>> from transformers import IJepaConfig, IJepaModel

    >>> # Initializing a IJEPA ijepa-base-patch16-224 style configuration
    >>> configuration = IJepaConfig()

    >>> # Initializing a model (with random weights) from the ijepa-base-patch16-224 style configuration
    >>> model = IJepaModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úijepai   Úhidden_sizeé   Únum_hidden_layersÚnum_attention_headsi   Úintermediate_sizeÚgeluÚ
hidden_actg        Úhidden_dropout_probÚattention_probs_dropout_probg{®Gáz”?Úinitializer_rangegê-�™—q=Úlayer_norm_epséà   Ú
image_sizeé   Ú
patch_sizer   Únum_channelsTÚqkv_biasNÚpooler_output_sizeÚtanhÚ
pooler_actc                 ón   •— | j         r| j         n| j        | _          t          ¦   «         j        di |¤Ž d S )N© )r   r   ÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s     €úk/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/ijepa/configuration_ijepa.pyr"   zIJepaConfig.__post_init__@   sB   ø€ Ø=AÔ=TÐ"j $Ô"9Ð"9ÐZ^ÔZjˆÔØ�‰ŒÔÐ'Ð' Ð'Ð'Ð'Ð'Ð'ó    )Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typer   ÚintÚ__annotations__r   r   r   r   Ústrr   Úfloatr   r   r   r   ÚlistÚtupler   r   r   Úboolr   r   r"   Ú__classcell__)r%   s   @r&   r	   r	      sx  ø€ € € € € € ðð ð* €Jà€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�uÐ#Ð#Ñ#Ø!€N�EÐ!Ð!Ñ!Ø47€J��d˜3”i‘ %¨¨S¨¤/Ñ1Ð7Ð7Ñ7Ø46€J��d˜3”i‘ %¨¨S¨¤/Ñ1Ð6Ð6Ñ6Ø€L�#ÐÐÑØ€HˆdÐÐÑØ%)Ð˜˜d™
Ð)Ð)Ñ)Ø€J�ÐÐÑð(ð (ð (ð (ð (ð (ð (ð (ð (r'   r	   N)	r+   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r    r'   r&   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5Ð6Ñ6Ô6Øð*(ð *(ð *(ð *(ð *(Ð"ñ *(ô *(ñ „ñ 7Ô6ð*(ðZ ˆ/€€€r'   