Ë
    ÜÓ^jé  ã                   ój   — 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Marian model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzHelsinki-NLP/opus-mt-en-de)Ú
checkpointc                   ó  ‡ — e Zd ZU dZdZdgZddddœZdZee	d	<   d
Z
e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	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ez  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$<   d%Z ee	d&<   d#Z!ed
z  e	d'<   d(Z"ee#e   z  d
z  e	d)<   d
Z$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.<   ˆ fd/„Z)ˆ xZ*S )0ÚMarianConfiga   
    decoder_vocab_size (`int`, *optional*):
        Vocab size of the decoder layer's embedding.
    share_encoder_decoder_embeddings (`bool`, *optional*, defaults to `True`):
        Whether to tie and share embeddings of encoder and decoder

    Examples:

    ```python
    >>> from transformers import MarianModel, MarianConfig

    >>> # Initializing a Marian Helsinki-NLP/opus-mt-en-de style configuration
    >>> configuration = MarianConfig()

    >>> # Initializing a model from the Helsinki-NLP/opus-mt-en-de style configuration
    >>> model = MarianModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```ÚmarianÚpast_key_valuesÚencoder_attention_headsÚd_modelÚencoder_layers)Únum_attention_headsÚhidden_sizeÚnum_hidden_layersiõâ  Ú
vocab_sizeNÚdecoder_vocab_sizei   Úmax_position_embeddingsé   i   Úencoder_ffn_dimé   Údecoder_layersÚdecoder_ffn_dimÚdecoder_attention_headsg        Úencoder_layerdropÚdecoder_layerdropTÚ	use_cacheÚis_encoder_decoderÚgeluÚactivation_functiongš™™™™™¹?ÚdropoutÚattention_dropoutÚactivation_dropoutg{®Gáz”?Úinit_stdiôâ  Údecoder_start_token_idFÚscale_embeddingÚpad_token_idr   Úeos_token_idÚbos_token_idÚforced_eos_token_idÚ share_encoder_decoder_embeddingsÚ
is_decoderÚtie_word_embeddingsc                 ób   •— | j                   xs | j                  | _         t        ‰| �  di |¤Ž y )N© )r   r   ÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s     €úz/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/models/marian/configuration_marian.pyr1   zMarianConfig.__post_init__S   s*   ø€ Ø"&×"9Ñ"9Ò"L¸T¿_¹_ˆÔÜ‰ÑÑ' Ó'ó    )+Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typeÚkeys_to_ignore_at_inferenceÚattribute_mapr   ÚintÚ__annotations__r   r   r   r   r   r   r   r   r   Úfloatr   r   Úboolr   r    Ústrr   r!   r"   r#   r$   r%   r&   r'   r(   Úlistr)   r*   r+   r,   r-   r1   Ú__classcell__)r4   s   @r5   r	   r	      s”  ø… ñð* €JØ#4Ð"5Ðà8Ø Ø-ñ€Mð €J�ÓØ%)Ð˜˜d™
Ó)Ø#'Ð˜SÓ'Ø€N�CÓØ€O�SÓØ#%Ð˜SÓ%Ø€N�CÓØ€O�SÓØ#%Ð˜SÓ%Ø%(Ð�u˜s‘{Ó(Ø%(Ð�u˜s‘{Ó(Ø€IˆtÓØ#Ð˜Ó#Ø%Ð˜Ó%Ø€GˆSÓØ€GˆU�S‰[ÓØ%(Ð�u˜s‘{Ó(Ø&)Ð˜ ™Ó)Ø€HˆeÓØ"'Ð˜CÓ'Ø!€O�TÓ!Ø$€L�#˜‘*Ó$Ø+,€L�#˜˜S™	‘/ DÑ(Ó,Ø#€L�#˜‘*Ó#Ø23Ð˜˜t C™y™¨4Ñ/Ó3Ø-1Ð$ dÓ1Ø€J�ÓØ $Ð˜Ó$÷(ð (r6   r	   N)	r:   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r/   r6   r5   ú<module>rI      sH   ðñ !å .å 3Ý #ñ Ð7Ô8Øô=(Ð#ó =(ó ó 9ð=(ð@ Ð
�r6   