+
    œ°³j5
  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MBART model configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzfacebook/mbart-large-cc25)Ú
checkpointc                   ó¶   a € ] tR t^t o RtRtR.tRRRRRR	/tR
tRt	^t
Rt^t^tRt^tRtRtRtRtRtRtRtRtRtRtRtRt^t^ t^tRt^t Rt!Rt"V 3R lt#Rt$V t%R# )ÚMBartConfiga’  
Example:

```python
>>> from transformers import MBartConfig, MBartModel

>>> # Initializing a MBART facebook/mbart-large-cc25 style configuration
>>> configuration = MBartConfig()

>>> # Initializing a model (with random weights) from the facebook/mbart-large-cc25 style configuration
>>> model = MBartModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
```ÚmbartÚpast_key_valuesÚnum_attention_headsÚencoder_attention_headsÚhidden_sizeÚd_modelÚnum_hidden_layersÚencoder_layersiYÄ  i   i   g        TÚgelugš™™™™™¹?g{®Gáz”?FNc                óD  <€ V ^8„  d   Qh/ S[ ;R&   S[ ;R&   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[S[ ,          ;R&   S[S[ ,          ;R&   S[S[ ,          ;R&   S[;R&   S[S[ ,          ;R&   S[;R&   S[ R,          ;R&   S[ R,          ;R&   S[ S[S[ ,          ,          R,          ;R&   S[ R,          ;R&   S[ S[S[ ,          ,          R,          ;R&   S[;R&   S[;R&   # )é   Ú
vocab_sizeÚmax_position_embeddingsr   Úencoder_ffn_dimr   Údecoder_layersÚdecoder_ffn_dimÚdecoder_attention_headsÚencoder_layerdropÚdecoder_layerdropÚ	use_cacheÚis_encoder_decoderÚactivation_functionr   ÚdropoutÚattention_dropoutÚactivation_dropoutÚinit_stdÚclassifier_dropoutÚscale_embeddingNÚpad_token_idÚbos_token_idÚeos_token_idÚdecoder_start_token_idÚforced_eos_token_idÚ
is_decoderÚtie_word_embeddings)ÚintÚfloatÚboolÚstrÚlist)ÚformatÚ__classdict__s   "€Ún/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/mbart/configuration_mbart.pyÚ__annotate__ÚMBartConfig.__annotate__   sÎ  ø‡ ‚ ñ6 Ññ7 ñ8 !Ñ'ñ9 ñ: Ññ; ñ< Ññ= ñ> !Ñ%ñ? ñ@ ÑñA ñB ÑñC ñD !Ñ%ñE ñF ™s•{Ñ(ñG ñH ™s•{Ñ(ñI ñJ ÑñK ñL Ñ#ñM ñN Ñ%ñO ñP ÑñQ ñR ‘S�[ÑñS ñT ™s•{Ñ(ñU ñV ¡�Ñ)ñW ñX ÑñY ñZ ¡�Ñ)ñ[ ñ\ Ñ!ñ] ñ^ ˜•*Ñ ñ_ ñ` ˜•*Ñ ña ñb ™™S�	•/ DÕ(Ñ,ñc ñd   $�JÑ-ñe ñf ™t¡C�y�¨4Õ/Ñ3ñg ñh Ññi ñj Ñ$òk ó    © )&Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__Ú
model_typeÚkeys_to_ignore_at_inferenceÚattribute_mapr   r   r   r   r   r   r   r   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__)r1   s   @r2   r   r      sÐ   ø‡ € ñð  €JØ#4Ð"5ÐàÐ8Ø�yØÐ-ð€Mð €JØ#'ÐØ€NØ€OØ#%ÐØ€NØ€OØ#%ÐØ%(ÐØ%(ÐØ€IØ#ÐØ%ÐØ€GØ€GØ%(ÐØ&)ÐØ€HØ&)ÐØ!€OØ €LØ €LØ+,€LØ)-ÐØ23ÐØ€JØ $Ð÷k ƒ r5   r   N)	r;   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r   Ú__all__r6   r5   r2   Ú<module>rF      sG   ðñ  å .å 3Ý #ñ Ð6Ô7Øô3%Ð"ó 3%ó ó 8ð3%ðl ˆ/‚r5   