§
    ‚ŠtjÞ	  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FNet model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzgoogle/fnet-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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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S )#Ú
FNetConfigað  
    use_tpu_fourier_optimizations (`bool`, *optional*, defaults to `False`):
        Determines whether to use TPU optimized FFTs. If `True`, the model will favor axis-wise FFTs transforms.
        Set to `False` for GPU/CPU hardware, in which case n-dimensional FFTs are used.
    tpu_short_seq_length (`int`, *optional*, defaults to 512):
        The sequence length that is expected by the model when using TPUs. This will be used to initialize the DFT
        matrix only when *use_tpu_fourier_optimizations* is set to `True` and the input sequence is shorter than or
        equal to 4096 tokens.

    Example:

    ```python
    >>> from transformers import FNetConfig, FNetModel

    >>> # Initializing a FNet fnet-base style configuration
    >>> configuration = FNetConfig()

    >>> # Initializing a model (with random weights) from the fnet-base style configuration
    >>> model = FNetModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úfneti }  Ú
vocab_sizei   Úhidden_sizeé   Únum_hidden_layersi   Úintermediate_sizeÚgelu_newÚ
hidden_actgš™™™™™¹?Úhidden_dropout_probi   Úmax_position_embeddingsé   Útype_vocab_sizeg{®Gáz”?Úinitializer_rangegê-�™—q=Úlayer_norm_epsFÚuse_tpu_fourier_optimizationsÚtpu_short_seq_lengthr   NÚpad_token_idé   Úbos_token_idé   Úeos_token_idTÚtie_word_embeddings)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   r   Úboolr   r   r   r   Úlistr   © ó    úi/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/fnet/configuration_fnet.pyr	   r	      sD  € € € € € € ðð ð0 €Jà€J�ÐÐÑØ€K�ÐÐÑØÐ�sÐÐÑØ!Ð�sÐ!Ð!Ñ!Ø €J�Ð Ð Ñ Ø'*Ð˜ ™Ð*Ð*Ñ*Ø#&Ð˜SÐ&Ð&Ñ&Ø€O�SÐÐÑØ#Ð�uÐ#Ð#Ñ#Ø!€N�EÐ!Ð!Ñ!Ø*/Ð! 4Ð/Ð/Ñ/Ø #Ð˜#Ð#Ð#Ñ#Ø €L�#˜‘*Ð Ð Ñ Ø €L�#˜‘*Ð Ð Ñ Ø+,€L�#˜˜Sœ	‘/ DÑ(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*%ðZ ˆ.€€€r,   