+
    œ°³jG  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MPNet model configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzmicrosoft/mpnet-base)Ú
checkpointc                   ót   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R	tR
t^ t^t^ t^tRtV 3R ltRtV tR# )ÚMPNetConfigaß  
relative_attention_num_buckets (`int`, *optional*, defaults to 32):
    The number of buckets to use for each attention layer.

Examples:

```python
>>> from transformers import MPNetModel, MPNetConfig

>>> # Initializing a MPNet mpnet-base style configuration
>>> configuration = MPNetConfig()

>>> # Initializing a model from the mpnet-base style configuration
>>> model = MPNetModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
```Úmpneti?w  i   i   Úgelugš™™™™™¹?i   g{®Gáz”?gê-�™—q=Tc                óD  <€ 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,          ;R&   S[ S[S[ ,          ,          R,          ;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initializer_rangeÚlayer_norm_epsÚrelative_attention_num_bucketsNÚpad_token_idÚbos_token_idÚeos_token_idÚtie_word_embeddings)ÚintÚstrÚfloatÚlistÚbool)ÚformatÚ__classdict__s   "€Ún/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/mpnet/configuration_mpnet.pyÚ__annotate__ÚMPNetConfig.__annotate__   s  ø‡ ‚ ñ0 Ññ1 ñ2 Ññ3 ñ4 Ññ5 ñ6 Ñ!ñ7 ñ8 Ñ!ñ9 ñ: Ññ; ñ< ¡�Ñ*ñ= ñ> #(©#¥+Ñ3ñ? ñ@ !Ñ&ñA ñB Ñ#ñC ñD Ñ!ñE ñF %(Ñ,ñG ñH ˜•*Ñ ñI ñJ ˜•*Ñ ñK ñL ™™S�	•/ DÕ(Ñ,ñM ñN Ñ$òO ó    © N)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   Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__)r"   s   @r#   r   r      sr   ø‡ € ñð& €Jà€JØ€KØÐØ!ÐØ!ÐØ€JØ'*ÐØ03Ð Ø#&ÐØ#ÐØ!€NØ*,Ð"Ø €LØ €LØ+,€LØ $Ð÷O ƒ r&   r   N)	r,   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r   Ú__all__r'   r&   r#   Ú<module>r5      sG   ðñ  å .å 3Ý #ñ Ð1Ô2Øô%%Ð"ó %%ó ó 3ð%%ðP ˆ/‚r&   