+
    œ°³jÒ
  ã                   ól   € R t ^ RIHt ^RIHt ^RIHt ]! RR7      ] ! R R]4      4       4       tR.tR# )	zBros model configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzjinho8345/bros-base-uncased)Ú
checkpointc                   ó’   a a€ ] tR t^t oRtRtRtRt^t^t	Rt
RtRtRtRt^tR	tR
t^ t^tRt^tRtRtRtV 3R ltV3R ltRtVtV ;t# )Ú
BrosConfigaó  
dim_bbox (`int`, *optional*, defaults to 8):
    The dimension of the bounding box coordinates. (x0, y1, x1, y0, x1, y1, x0, y1)
bbox_scale (`float`, *optional*, defaults to 100.0):
    The scale factor of the bounding box coordinates.
n_relations (`int`, *optional*, defaults to 1):
    The number of relations for SpadeEE(entity extraction), SpadeEL(entity linking) head.

Examples:

```python
>>> from transformers import BrosConfig, BrosModel

>>> # Initializing a BROS jinho8345/bros-base-uncased style configuration
>>> configuration = BrosConfig()

>>> # Initializing a model from the jinho8345/bros-base-uncased style configuration
>>> model = BrosModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
```Úbrosi:w  i   i   Úgelugš™™™™™¹?i   g{®Gáz”?gê-�™—q=g      Y@Fc                óà   <€ V P                   ^,          V n        V P                  V P                  ,          V n        V P                   V P                  ,          V n        \        SV `  ! R/ VB  R# )é   N© )Úhidden_sizeÚdim_bbox_sinusoid_emb_2dÚdim_bboxÚdim_bbox_sinusoid_emb_1dÚnum_attention_headsÚdim_bbox_projectionÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s   &,€Úl/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/bros/configuration_bros.pyr   ÚBrosConfig.__post_init__F   sV   ø€ Ø(,×(8Ñ(8¸AÕ(=ˆÔ%Ø(,×(EÑ(EÈÏÉÕ(VˆÔ%Ø#'×#3Ñ#3°t×7OÑ7OÕ#OˆÔ Ü‰ÒÑ' Ô'ó    c                ó<  <€ V ^8„  d   Qh/ S[ ;R&   S[ ;R&   S[ ;R&   S[ ;R&   S[ ;R&   S[;R&   S[S[ ,          ;R&   S[S[ ,          ;R&   S[ ;R	&   S[ ;R
&   S[;R&   S[;R&   S[ R,          ;R&   S[ ;R&   S[;R&   S[ ;R&   S[S[ ,          ;R&   S[;R&   S[;R&   # )é   Ú
vocab_sizer   Únum_hidden_layersr   Úintermediate_sizeÚ
hidden_actÚhidden_dropout_probÚattention_probs_dropout_probÚmax_position_embeddingsÚtype_vocab_sizeÚinitializer_rangeÚlayer_norm_epsNÚpad_token_idr   Ú
bbox_scaleÚn_relationsÚclassifier_dropout_probÚ
is_decoderÚadd_cross_attention)ÚintÚstrÚfloatÚbool)ÚformatÚ__classdict__s   "€r   Ú__annotate__ÚBrosConfig.__annotate__   s*  ø‡ ‚ ñ8 Ññ9 ñ: Ññ; ñ< Ññ= ñ> Ñ!ñ? ñ@ Ñ!ñA ñB ÑñC ñD ¡�Ñ*ñE ñF #(©#¥+Ñ3ñG ñH !Ñ&ñI ñJ ÑñK ñL Ñ#ñM ñN Ñ!ñO ñP ˜•*Ñ ñQ ñR ÑñS ñT ÑñU ñV ÑñW ñX #¡S�[Ñ.ñY ñZ Ññ[ ñ\ Ñ%ò] r   )r   r   r   )Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__Ú
model_typer   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r'   r   r(   r)   r*   r+   r,   r   Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__Ú__classcell__)r   r2   s   @@r   r   r      s†   ù‡ € ñð. €Jà€JØ€KØÐØ!ÐØ!ÐØ€JØ'*ÐØ03Ð Ø#&ÐØ€OØ#ÐØ!€NØ €LØ€HØ€JØ€KØ+.ÐØ€JØ %Ðõ(÷a … r   r   N)	r9   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r   Ú__all__r   r   r   Ú<module>rC      sG   ðñ å .å 3Ý #ñ Ð8Ô9Øô2(Ð!ó 2(ó ó :ð2(ðj ˆ.‚r   