+
    œ°³j�  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LayoutLM model configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzmicrosoft/layoutlm-base-uncased)Ú
checkpointc                   ó|   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RtRtRtRtRtV 3R ltRtV tR# )ÚLayoutLMConfiga0  
max_2d_position_embeddings (`int`, *optional*, defaults to 1024):
    The maximum value that the 2D position embedding might ever used. Typically set this to something large
    just in case (e.g., 1024).

Examples:

```python
>>> from transformers import LayoutLMConfig, LayoutLMModel

>>> # Initializing a LayoutLM configuration
>>> configuration = LayoutLMConfig()

>>> # Initializing a model (with random weights) from the configuration
>>> model = LayoutLMModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
```Úlayoutlmi:w  i   i   Úgelugš™™™™™¹?i   g{®Gáz”?gê-�™—q=NTi   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[ S[S[ ,          ,          R,          ;R&   S[ R,          ;R&   S[;R&   S[ ;R&   S[;R&   # )é   Ú
vocab_sizeÚhidden_sizeÚnum_hidden_layersÚnum_attention_headsÚintermediate_sizeÚ
hidden_actÚhidden_dropout_probÚattention_probs_dropout_probÚmax_position_embeddingsÚtype_vocab_sizeÚinitializer_rangeÚlayer_norm_epsNÚpad_token_idÚeos_token_idÚbos_token_idÚ	use_cacheÚmax_2d_position_embeddingsÚtie_word_embeddings)ÚintÚstrÚfloatÚlistÚbool)ÚformatÚ__classdict__s   "€Út/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/layoutlm/configuration_layoutlm.pyÚ__annotate__ÚLayoutLMConfig.__annotate__   s"  ø‡ ‚ ñ2 Ññ3 ñ4 Ññ5 ñ6 Ññ7 ñ8 Ñ!ñ9 ñ: Ñ!ñ; ñ< Ññ= ñ> ¡�Ñ*ñ? ñ@ #(©#¥+Ñ3ñA ñB !Ñ&ñC ñD ÑñE ñF Ñ#ñG ñH Ñ!ñI ñJ ˜•*Ñ ñK ñL ™™S�	•/ DÕ(Ñ/ñM ñN ˜•*Ñ#ñO ñP ÑñQ ñR !$Ñ*ñS ñT Ñ$òU ó    © )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   Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__)r$   s   @r%   r   r      s|   ø‡ € ñð( €Jà€JØ€KØÐØ!ÐØ!ÐØ€JØ'*ÐØ03Ð Ø#&ÐØ€OØ#ÐØ!€NØ €LØ+/€LØ#€LØ€IØ&*ÐØ $Ð÷U ƒ r(   r   N)	r.   Úhuggingface_hub.dataclassesr   Ú r   Úutilsr   r   Ú__all__r)   r(   r%   Ú<module>r7      sH   ðñ #å .å  Ý #ñ Ð<Ô=Øô(%Ð%ó (%ó ó >ð(%ðV Ð
‚r(   