+
    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PLBART model configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzuclanlp/plbart-base)Ú
checkpointc                   ó¶   a € ] tR t^t o RtRtR.tRR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^tRt Rt!V 3R lt"Rt#V t$R# )ÚPLBartConfiga‹  
Example:

```python
>>> from transformers import PLBartConfig, PLBartModel

>>> # Initializing a PLBART uclanlp/plbart-base style configuration
>>> configuration = PLBartConfig()

>>> # Initializing a model (with random weights) from the uclanlp/plbart-base style configuration
>>> model = PLBartModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
```ÚplbartÚpast_key_valuesÚnum_attention_headsÚencoder_attention_headsÚhidden_sizeÚd_modelÚinitializer_rangeÚinit_stdÚnum_hidden_layersÚencoder_layersiUÃ  i   i   g        TÚgelui   gš™™™™™¹?g{®Gáz”?Fc                ó*  <€ 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[ 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_dropoutr   Úclassifier_dropoutÚscale_embeddingNÚpad_token_idÚbos_token_idÚeos_token_idÚforced_eos_token_idÚ
is_decoderÚtie_word_embeddings)ÚintÚfloatÚboolÚstrÚlist)ÚformatÚ__classdict__s   "€Úp/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/plbart/configuration_plbart.pyÚ__annotate__ÚPLBartConfig.__annotate__   s½  ø‡ ‚ ñ8 Ññ9 ñ: !Ñ'ñ; ñ< Ññ= ñ> Ññ? ñ@ !Ñ%ñA ñB ÑñC ñD ÑñE ñF !Ñ%ñG ñH ™s•{Ñ(ñI ñJ ™s•{Ñ(ñK ñL ÑñM ñN Ñ#ñO ñP Ñ%ñQ ñR ÑñS ñT ‘S�[ÑñU ñV ™s•{Ñ(ñW ñX ¡�Ñ)ñY ñZ Ññ[ ñ\ ¡�Ñ)ñ] ñ^ Ñ ñ_ ñ` ˜•*Ñ ña ñb ˜•*Ñ ñc ñd ™™S�	•/ DÕ(Ñ,ñe ñf ™t¡C�y�¨4Õ/Ñ3ñg ñh Ññi ñj Ñ$òk ó    © N)%Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__Ú
model_typeÚkeys_to_ignore_at_inferenceÚattribute_mapr   r   r   r   r   r   r   r   r   r   r   r   r   r   r    r!   r"   r   r#   r$   r%   r&   r'   r(   r)   r*   Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__)r1   s   @r2   r   r      sÏ   ø‡ € ñð  €JØ#4Ð"5ÐàÐ8Ø�yØ˜ZØ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+,€LØ23Ð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      sH   ðñ !å .å 3Ý #ñ Ð0Ô1Øô3%Ð#ó 3%ó ó 2ð3%ðl Ð
‚r5   