+
    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LUKE configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzstudio-ousia/luke-base)Ú
checkpointc                   ó„   a € ] tR t^t o RtRt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RtRt^t^ t^tRtV 3R ltRtV tR# )Ú
LukeConfigaÄ  
entity_vocab_size (`int`, *optional*, defaults to 500000):
    Entity vocabulary size of the LUKE model. Defines the number of different entities that can be represented
    by the `entity_ids` passed when calling [`LukeModel`].
entity_emb_size (`int`, *optional*, defaults to 256):
    The number of dimensions of the entity embedding.
use_entity_aware_attention (`bool`, *optional*, defaults to `True`):
    Whether or not the model should use the entity-aware self-attention mechanism proposed in [LUKE: Deep
    Contextualized Entity Representations with Entity-aware Self-attention (Yamada et
    al.)](https://huggingface.co/papers/2010.01057).

Examples:

```python
>>> from transformers import LukeConfig, LukeModel

>>> # Initializing a LUKE configuration
>>> configuration = LukeConfig()

>>> # Initializing a model from the configuration
>>> model = LukeModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
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&   S[ ;R&   S[ ;R&   S[;R&   S[;R&   S[;R&   S[S[ ,          R,          ;R&   S[ R,          ;R&   S[ R,          ;R&   S[ S[S[ ,          ,          R,          ;R&   S[;R&   # )é   Ú
vocab_sizeÚentity_vocab_sizeÚhidden_sizeÚentity_emb_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_epsÚuse_entity_aware_attentionNÚclassifier_dropoutÚpad_token_idÚbos_token_idÚeos_token_idÚtie_word_embeddings)ÚintÚstrÚfloatÚboolÚlist)ÚformatÚ__classdict__s   "€Úl/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/luke/configuration_luke.pyÚ__annotate__ÚLukeConfig.__annotate__   sU  ø‡ ‚ ñ> Ññ? ñ@ Ñ#ñA ñB ÑñC ñD ÑñE ñF ÑñG ñH Ñ!ñI ñJ Ñ!ñK ñL ÑñM ñN ¡�Ñ*ñO ñP #(©#¥+Ñ3ñQ ñR !Ñ&ñS ñT ÑñU ñV Ñ#ñW ñX Ñ!ñY ñZ !%Ñ+ñ[ ñ\ ¡� dÕ*Ñ1ñ] ñ^ ˜•*Ñ ñ_ ñ` ˜•*Ñ ña ñb ™™S�	•/ DÕ(Ñ,ñc ñd Ñ$òe 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   r   r    Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__)r'   s   @r(   r   r      sˆ   ø‡ € ñð4 €Jà€JØ#ÐØ€KØ€OØÐØ!ÐØ!ÐØ€JØ'*ÐØ03Ð Ø#&ÐØ€OØ#ÐØ!€NØ'+ÐØ-1ÐØ €LØ €LØ+,€LØ $Ð÷e ƒ r+   r   N)	r1   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r   Ú__all__r,   r+   r(   Ú<module>r:      sG   ðñ å .å 3Ý #ñ Ð3Ô4Øô0%Ð!ó 0%ó ó 5ð0%ðf ˆ.‚r+   