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    ÛÓ^jå	  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I-BERT configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzkssteven/ibert-roberta-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$<   y)%ÚIBertConfiga'  
    type_vocab_size (`int`, *optional*, defaults to 2):
        The vocabulary size of the `token_type_ids` passed when calling [`IBertModel`]
    quant_mode (`bool`, *optional*, defaults to `False`):
        Whether to quantize the model or not.
    force_dequant (`str`, *optional*, defaults to `"none"`):
        Force dequantize specific nonlinear layer. Dequantized layers are then executed with full precision.
        `"none"`, `"gelu"`, `"softmax"`, `"layernorm"` and `"nonlinear"` are supported. As default, it is set as
        `"none"`, which does not dequantize any layers. Please specify `"gelu"`, `"softmax"`, or `"layernorm"` to
        dequantize GELU, Softmax, or LayerNorm, respectively. `"nonlinear"` will dequantize all nonlinear layers,
        i.e., GELU, Softmax, and LayerNorm.
    Úiberti: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_idFÚ
quant_modeÚnoneÚforce_dequantTÚ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   Úboolr    r!   © ó    úx/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/models/ibert/configuration_ibert.pyr	   r	      sç   … ñð €Jà€J�ÓØ€K�ÓØÐ�sÓØ!Ð˜Ó!Ø!Ð�sÓ!Ø€J�ÓØ'*Ð˜ ™Ó*Ø03Ð  %¨#¡+Ó3Ø#&Ð˜SÓ&Ø€O�SÓØ#Ð�uÓ#Ø!€N�EÓ!Ø €L�#˜‘*Ó Ø €L�#˜‘*Ó Ø+,€L�#˜˜S™	‘/ DÑ(Ó,Ø€J�ÓØ€M�3ÓØ $Ð˜Ô$r.   r	   N)	r%   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r-   r.   r/   ú<module>r4      sG   ðñ  å .å 3Ý #ñ Ð8Ô9Øô!%Ð"ó !%ó ó :ð!%ðH ˆ/�r.   