+
    œ°³jä	  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I-BERT configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzkssteven/ibert-roberta-base)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^ t^tRtRtRtV 3R ltRtV tR# )ÚIBertConfigaû  
type_vocab_size (`int`, *optional*, defaults to 2):
    The vocabulary size of the `token_type_ids` passed when calling [`IBertModel`]
quant_mode (`bool`, *optional*, defaults to `False`):
    Whether to quantize the model or not.
force_dequant (`str`, *optional*, defaults to `"none"`):
    Force dequantize specific nonlinear layer. Dequantized layers are then executed with full precision.
    `"none"`, `"gelu"`, `"softmax"`, `"layernorm"` and `"nonlinear"` are supported. As default, it is set as
    `"none"`, which does not dequantize any layers. Please specify `"gelu"`, `"softmax"`, or `"layernorm"` to
    dequantize GELU, Softmax, or LayerNorm, respectively. `"nonlinear"` will dequantize all nonlinear layers,
    i.e., GELU, Softmax, and LayerNorm.
Úiberti:w  i   i   Úgelugš™™™™™¹?i   g{®Gáz”?gê-�™—q=FÚnoneTc                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[ R,          ;R&   S[ S[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bos_token_idÚeos_token_idÚ
quant_modeÚforce_dequantÚ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/ibert/configuration_ibert.pyÚ__annotate__ÚIBertConfig.__annotate__   s  ø‡ ‚ ñ$ Ññ% ñ& Ññ' ñ( Ññ) ñ* Ñ!ñ+ ñ, Ñ!ñ- ñ. Ññ/ ñ0 ¡�Ñ*ñ1 ñ2 #(©#¥+Ñ3ñ3 ñ4 !Ñ&ñ5 ñ6 Ññ7 ñ8 Ñ#ñ9 ñ: Ñ!ñ; ñ< ˜•*Ñ ñ= ñ> ˜•*Ñ ñ? ñ@ ™™S�	•/ DÕ(Ñ,ñA ñB ÑñC ñD ÑñE ñF Ñ$òG 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   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€JØ€MØ $Ð÷G ƒ r)   r   N)	r/   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r   Ú__all__r*   r)   r&   Ú<module>r8      sG   ðñ  å .å 3Ý #ñ Ð8Ô9Øô!%Ð"ó !%ó ó :ð!%ðH ˆ/‚r)   