
    Ph                        d Z ddlmZ ddlmZ ddlmZ ddlmZm	Z	m
Z
mZmZmZmZmZ ddlmZ ddlmZ dd	lmZ dd
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rddl0m1Z1 ddl0m2Z2 ddl0m3Z3 ddl0m4Z4 ddl0m5Z5 ddl0m6Z6 ddl0m7Z7 ddl0m8Z8 ddl0m9Z9 ddl0m:Z: ddl0m;Z; ddl0m<Z< ddl0m=Z= ddl0m>Z> ddl0m?Z? ddl0m@Z@ ddl0mAZA ddl0mBZB ddl0mCZC ddlDmEZE ddlFmGZG ddlFmFZF ddlHmIZI ddlHmJZJ ddlHmKZK ddlHmLZL ddlHmMZM ddlHmNZN ddlHmOZO ddlHmPZP ddlHmQZQ ddlHmRZR ddlHmSZS ddlHmTZT ddlHmUZU ddlHmVZV ddlHmWZW ddlHmXZX ddlHmYZY ddlHmZZZ ddl[m\Z\ ddl[m]Z] ddl[m^Z^ ddl[m_Z_ ddl[m`Z` ddl[maZa ddl[mbZb ddl[mcZc ddl[mdZd ddl[meZe ddl[mfZf ddl[mgZg ddlhmiZi ddlhmjZj ddlhmkZk ddlhmlZl ddlhmmZm ddlhmnZn ddlhmoZo ddlhmpZp ddlhmqZq ddlrmsZs ddltmuZu ddltmvZv ddlwmxZx ddlwmyZy ddlwmzZz ddlwm{Z{ ddlwm|Z| ddlwm}Z} ddlwm~Z~ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ dd lwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ dd	lwmZ dd
lwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ ddlwmZ dd lwmZ dd!lwmZ dd"lwmZ dd#lwmZ dd$lwmZ dd%lwmZ dd&lwmZ dd'lwmZ dd(lwmZ dd)lwmZ dd*lwmZ dd+lwmZ dd,lwmZ dd-lwmZ dd.lwmZ dd/lwmZ dd0lwmZ dd1lwmZ dd2lwmZ dd3lwmZ dd4lwmZ dd5lwmZ dd6lwmZ dd7lwmZ dd8lmZ dd9lmZ dd:lmZ dd;lmZ dd<lmZ dd=lmZ dd>lmZ dd?lmZ dd@lmZ ddAlmZ ddBlmZ ddClmZ ddDlmZ ddElmZ ddFlmZ ddGlmZ ddHlmZ ddIlmZ ddJlmZ ddKlmZ ddLlmZ ddMlmZ ddNlmZ ddOlmZ ddPlmZ ddQlmZ ddRlmZ ddSlmZ ddTlmZ ddUlmZ ddVlmZ ddWlmZ ddXlmZ ddYlmZ ddZlmZ dd[lm Z  dd\lmZ dd]lmZ dd^lmZ dd_lmZ dd`lmZ ddal ddblm	Z	 ddcl
mZ dddlmZ ddelmZ ddflmZ ddglmZ ddhlmZ ddilmZ ddjlmZ ddklmZ ddllmZ ddmlmZ ddnlmZ ddolmZ ddplmZ ddqlmZ ddrlmZ ddslmZ ddtlmZ ddulm Z  ddvlm!Z! ddwlm"Z" ddxlm#Z# ddylm$Z$ ddzlm%Z% dd{lm&Z& dd|lm'Z' dd}lm(Z( dd~lm)Z) ddlm*Z* ddlm+Z+ ddlm,Z, ddlm-Z- ddlm.Z. ddlm/Z/ ddlm0Z0 ddlm1Z1 ddlm2Z2 ddlm3Z3 ddlm4Z4 ddlm5Z5 ddlm6Z6 ddlm7Z7 ddlm8Z8 ddlm9Z9 ddlm:Z: ddlm;Z; ddlm<Z< ddlm=Z= ddlm>Z> ddlm?Z? ddlm@Z@ ddlmAZA ddlmBZB ddlmCZC ddlDmEZE ddlFmGZG ddlFmHZH ddlFmIZI ddlJmKZK ddlLmMZM ddlLmNZN ddlLmOZO ddlLmPZP ddlLmQZQ ddlLmRZR ddlSmTZT ddlUmVZV ddlWmXZX ddlWmYZY ddlWmZZZ ddlWm[Z[ ddlWm\Z\ ddlWm]Z] ddlWm^Z^ ddl_m`Z` ddlambZb ddlcmdZd ddlcmeZe ddlcmfZf ddlcmgZg ddlcmhZh ddlimjZj ddlkmlZl ddlmmnZn ddlmoZo ddlmpZp ddlmqZq ddlmrZr ddlmsZs ddlmtZt ddlmuZu ddlmvZv ddlmwZw ddlmxZx ddlmyZy ddlmzZz ddlm{Z{ ddlm|Z| ddlm}Z} ddlm~Z~ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ dd֐lmZ ddאlmZ ddؐlmZ ddِlmZ ddڐlmZ ddېlmZ ddܐlmZ ddݐlmZ ddސlmZ ddߐlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ nddlZe$jI                         D ci c]  \  }}| e|       c}}Z$ e  ee      jN                  dz  d      Ze ei          jU                  e$        e	e" e       d   eede i      ejZ                  e"<    e       s' e       s e       se#j]                  d       yyyy# e$ r; ddRlm%Z%  e&e%      D  cg c]  } | jO                  dS      r|  nc c} w c} e$dT<   Y w xY w# e$ r; ddWlm(Z(  e&e(      D  cg c]  } | jO                  dS      r|  nc c} w c} e$dX<   Y w xY w# e$ r; dd[lm)Z)  e&e)      D  cg c]  } | jO                  dS      r|  nc c} w c} e$d\<   Y w xY w# e$ r; ddclm*Z*  e&e*      D  cg c]  } | jO                  dS      r|  nc c} w c} e$dd<   Y w xY w# e$ r; ddilm+Z+  e&e+      D  cg c]  } | jO                  dS      r|  nc c} w c} e$dj<   Y >w xY w# e$ r; ddlm-Z-  e&e-      D  cg c]  } | jO                  dS      r|  nc c} w c} e$d<   Y w xY w# e$ r; ddlm.Z.  e&e.      D  cg c]  } | jO                  dS      r|  nc c} w c} e$d<   Y w xY w# e$ r; ddlm/Z/  e&e/      D  cg c]  } | jO                  dS      r|  nc c} w c} e$d<   Y w xY wc c}}w (  z4.57.0    )Path)TYPE_CHECKING   )dependency_versions_check)OptionalDependencyNotAvailable_LazyModuleis_essentia_availableis_g2p_en_availableis_librosa_availableis_mistral_common_availableis_mlx_availableis_pretty_midi_available)is_bitsandbytes_available)is_flax_available)is_keras_nlp_available)is_scipy_available)is_sentencepiece_available)is_speech_available)is_tensorflow_text_available)is_tf_available)is_timm_available)is_tokenizers_available)is_torch_available)is_torchaudio_available)is_torchvision_available)is_vision_available)logging)define_import_structureaudio_utilscommandsconfiguration_utilsPretrainedConfigconvert_graph_to_onnx+convert_slow_tokenizers_checkpoints_to_fast)convert_tf_hub_seq_to_seq_bert_to_pytorchdata)DataProcessorInputExampleInputFeatures%SingleSentenceClassificationProcessorSquadExampleSquadFeaturesSquadV1ProcessorSquadV2Processorglue_compute_metrics!glue_convert_examples_to_featuresglue_output_modesglue_processorsglue_tasks_num_labels"squad_convert_examples_to_featuresxnli_compute_metricsxnli_output_modesxnli_processorsxnli_tasks_num_labelszdata.data_collator)DataCollatorDataCollatorForLanguageModelingDataCollatorForMultipleChoice*DataCollatorForPermutationLanguageModelingDataCollatorForSeq2SeqDataCollatorForSOP"DataCollatorForTokenClassificationDataCollatorForWholeWordMaskDataCollatorWithFlatteningDataCollatorWithPaddingDefaultDataCollatordefault_data_collatorzdata.metricszdata.processorsdebug_utilsr   dependency_versions_tabledynamic_module_utils!feature_extraction_sequence_utilsSequenceFeatureExtractorfeature_extraction_utilsBatchFeatureFeatureExtractionMixin
file_utils
generation)AsyncTextIteratorStreamerCompileConfigGenerationConfigTextIteratorStreamerTextStreamerWatermarkingConfighf_argparserHfArgumentParserhyperparameter_searchimage_transformsintegrations)is_clearml_availableis_comet_availableis_dvclive_availableis_neptune_availableis_optuna_availableis_ray_availableis_ray_tune_availableis_sigopt_availableis_swanlab_availableis_tensorboard_availableis_trackio_availableis_wandb_availableloss	modelcard	ModelCardmodeling_tf_pytorch_utils)(convert_tf_weight_name_to_pt_weight_name$load_pytorch_checkpoint_in_tf2_modelload_pytorch_model_in_tf2_model!load_pytorch_weights_in_tf2_model$load_tf2_checkpoint_in_pytorch_modelload_tf2_model_in_pytorch_model!load_tf2_weights_in_pytorch_modelonnx	pipelines)%AudioClassificationPipeline"AutomaticSpeechRecognitionPipelineCsvPipelineDataFormatDepthEstimationPipeline!DocumentQuestionAnsweringPipelineFeatureExtractionPipelineFillMaskPipelineImageClassificationPipelineImageFeatureExtractionPipelineImageSegmentationPipelineImageTextToTextPipelineImageToImagePipelineImageToTextPipelineJsonPipelineDataFormatKeypointMatchingPipelineMaskGenerationPipelineNerPipelineObjectDetectionPipelinePipedPipelineDataFormatPipelinePipelineDataFormatQuestionAnsweringPipelineSummarizationPipelineTableQuestionAnsweringPipelineText2TextGenerationPipelineTextClassificationPipelineTextGenerationPipelineTextToAudioPipelineTokenClassificationPipelineTranslationPipelineVideoClassificationPipelineVisualQuestionAnsweringPipeline#ZeroShotAudioClassificationPipelineZeroShotClassificationPipeline#ZeroShotImageClassificationPipelineZeroShotObjectDetectionPipelinepipelineprocessing_utilsProcessorMixin
quantizerstesting_utilstokenization_utilsPreTrainedTokenizertokenization_utils_base)
AddedTokenBatchEncodingCharSpanPreTrainedTokenizerBaseSpecialTokensMixin	TokenSpantrainer_callback)DefaultFlowCallbackEarlyStoppingCallbackPrinterCallbackProgressCallbackTrainerCallbackTrainerControlTrainerStatetrainer_utils)EvalPredictionIntervalStrategySchedulerTypeenable_full_determinismset_seedTrainingArgumentsSeq2SeqTrainingArgumentsTFTrainingArguments).CONFIG_NAMEMODEL_CARD_NAMEPYTORCH_PRETRAINED_BERT_CACHEPYTORCH_TRANSFORMERS_CACHESPIECE_UNDERLINETF2_WEIGHTS_NAMETF_WEIGHTS_NAMETRANSFORMERS_CACHEWEIGHTS_NAME
TensorTypeadd_end_docstringsadd_start_docstringsis_apex_availableis_av_availabler   is_datasets_availableis_faiss_availabler   r   is_matplotlib_availabler   is_phonemizer_availableis_psutil_availableis_py3nvml_availableis_pyctcdecode_availableis_sacremoses_availableis_safetensors_availabler   r   is_sklearn_availabler   r   r   r   r   r   is_torch_hpu_availableis_torch_mlu_availableis_torch_musa_availableis_torch_neuroncore_availableis_torch_npu_availabler   is_torch_xla_availableis_torch_xpu_availabler   r   )
AqlmConfigAutoRoundConfig	AwqConfigBitNetQuantConfigBitsAndBytesConfigCompressedTensorsConfig
EetqConfigFbgemmFp8ConfigFineGrainedFP8Config
GPTQConfigHiggsConfig	HqqConfigMxfp4ConfigQuantoConfigQuarkConfigFPQuantConfig
SpQRConfigTorchAoConfig
VptqConfig)training_argstraining_args_seq2seqtraining_args_tfutilszutils.quantization_configvideo_utilsPreTrainedTokenizerFasttokenization_utils_fast)dummy_tokenizers_objects_zutils.dummy_tokenizers_objectsSLOW_TO_FAST_CONVERTERSconvert_slow_tokenizer)*dummy_sentencepiece_and_tokenizers_objectsz0utils.dummy_sentencepiece_and_tokenizers_objectsMistralCommonTokenizertokenization_mistral_common)dummy_mistral_common_objectsz"utils.dummy_mistral_common_objectsImageProcessingMixinimage_processing_baseBaseImageProcessorimage_processing_utilsImageFeatureExtractionMixinimage_utils)dummy_vision_objectszutils.dummy_vision_objectsBaseImageProcessorFastimage_processing_utils_fastBaseVideoProcessorvideo_processing_utils)dummy_torchvision_objectszutils.dummy_torchvision_objectsmodel_addition_debugger_contextmodel_debugging_utilsactivations)CacheLayerMixinDynamicLayerStaticLayerStaticSlidingWindowLayerSlidingWindowLayerChunkedSlidingLayerQuantoQuantizedLayerHQQQuantizedLayerCacheDynamicCacheEncoderDecoderCacheHQQQuantizedCacheHybridCacheHybridChunkedCacheOffloadedCacheOffloadedStaticCacheQuantizedCacheQuantoQuantizedCache	SinkCacheSlidingWindowCacheStaticCachecache_utils)	GlueDatasetGlueDataTrainingArgumentsLineByLineTextDatasetLineByLineWithRefDatasetLineByLineWithSOPTextDatasetSquadDatasetSquadDataTrainingArgumentsTextDataset$TextDatasetForNextSentencePredictionzdata.datasets)1#AlternatingCodebooksLogitsProcessorBayesianDetectorConfigBayesianDetectorModel
BeamScorer%ClassifierFreeGuidanceLogitsProcessorConstrainedBeamSearchScorer
ConstraintConstraintListStateDisjunctiveConstraint#EncoderNoRepeatNGramLogitsProcessor'EncoderRepetitionPenaltyLogitsProcessorEosTokenCriteriaEpsilonLogitsWarperEtaLogitsWarperExponentialDecayLengthPenaltyForcedBOSTokenLogitsProcessorForcedEOSTokenLogitsProcessorGenerationMixinInfNanRemoveLogitsProcessorLogitNormalizationLogitsProcessorLogitsProcessorListMaxLengthCriteriaMaxTimeCriteriaMinLengthLogitsProcessor!MinNewTokensLengthLogitsProcessorMinPLogitsWarperNoBadWordsLogitsProcessorNoRepeatNGramLogitsProcessorPhrasalConstraint PrefixConstrainedLogitsProcessor RepetitionPenaltyLogitsProcessorSequenceBiasLogitsProcessorStoppingCriteriaStoppingCriteriaListStopStringCriteria$SuppressTokensAtBeginLogitsProcessorSuppressTokensLogitsProcessorSynthIDTextWatermarkDetectorSynthIDTextWatermarkingConfig#SynthIDTextWatermarkLogitsProcessorTemperatureLogitsWarperTopKLogitsWarperTopPLogitsWarperTypicalLogitsWarper.UnbatchedClassifierFreeGuidanceLogitsProcessorWatermarkDetectorWatermarkLogitsProcessorWhisperTimeStampLogitsProcessor$TorchExportableModuleWithStaticCacheconvert_and_export_with_cachezintegrations.executorchmodeling_flash_attention_utilsGradientCheckpointingLayermodeling_layersmodeling_outputsROPE_INIT_FUNCTIONSdynamic_rope_updatemodeling_rope_utilsPreTrainedModelAttentionInterfacemodeling_utilsAttentionMaskInterfacemasking_utils)	Adafactorget_constant_schedule!get_constant_schedule_with_warmupget_cosine_schedule_with_warmup2get_cosine_with_hard_restarts_schedule_with_warmup+get_cosine_with_min_lr_schedule_with_warmup3get_cosine_with_min_lr_schedule_with_warmup_lr_rateget_inverse_sqrt_scheduleget_linear_schedule_with_warmup)get_polynomial_decay_schedule_with_warmupget_schedulerget_wsd_scheduleget_reduce_on_plateau_scheduleoptimization)Conv1Dapply_chunking_to_forwardprune_layerinfer_devicepytorch_utils	sagemakertime_series_utilsTrainertrainertorch_distributed_zero_firsttrainer_pt_utilsSeq2SeqTrainertrainer_seq2seq)dummy_pt_objectszutils.dummy_pt_objectsactivations_tf)TFForcedBOSTokenLogitsProcessorTFForcedEOSTokenLogitsProcessorTFForceTokensLogitsProcessorTFGenerationMixinTFLogitsProcessorTFLogitsProcessorListTFLogitsWarperTFMinLengthLogitsProcessorTFNoBadWordsLogitsProcessorTFNoRepeatNGramLogitsProcessor"TFRepetitionPenaltyLogitsProcessor&TFSuppressTokensAtBeginLogitsProcessorTFSuppressTokensLogitsProcessorTFTemperatureLogitsWarperTFTopKLogitsWarperTFTopPLogitsWarperKerasMetricCallbackPushToHubCallbackkeras_callbacksmodeling_tf_outputs)TFPreTrainedModelTFSequenceSummaryTFSharedEmbeddings
shape_listmodeling_tf_utils)AdamWeightDecayGradientAccumulatorWarmUpcreate_optimizeroptimization_tftf_utils)dummy_tf_objectszutils.dummy_tf_objects)!FlaxForcedBOSTokenLogitsProcessor!FlaxForcedEOSTokenLogitsProcessorFlaxForceTokensLogitsProcessorFlaxGenerationMixinFlaxLogitsProcessorFlaxLogitsProcessorListFlaxLogitsWarperFlaxMinLengthLogitsProcessorFlaxTemperatureLogitsWarper(FlaxSuppressTokensAtBeginLogitsProcessor!FlaxSuppressTokensLogitsProcessorFlaxTopKLogitsWarperFlaxTopPLogitsWarper#FlaxWhisperTimeStampLogitsProcessormodeling_flax_outputsFlaxPreTrainedModelmodeling_flax_utils)dummy_flax_objectszutils.dummy_flax_objects)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*   )r+   )r,   )r-   )r.   )r/   )r0   )r1   )r2   )r3   )r4   )r5   )r6   )r7   )r8   )r9   )r:   )r;   )r<   )r=   )r>   )r?   )r@   )rA   )rB   )rC   )rD   )r  )r  )r  )r  )r   )r!  )r"  )r#  )r$  )rI   )rK   )rL   )r%  )rO   )r&  )r'  )r(  )r)  )rP   )r*  )r+  )r,  )r-  )r.  )r/  )r0  )r1  )r2  )r3  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r4  )r5  )rQ   )r6  )r7  )r8  )r9  )r:  )r;  )r<  )r=  )r>  )r?  )r@  )rA  )rB  )rC  )rD  )rE  )rF  )rG  )rH  )rI  )rJ  )rK  )rL  )rM  )rN  )rR   )rS   )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )rO  )rP  )rQ  )rR  )rS  )rT   )rT  )rU  )rV   )r   )r   )r   )r   )rZ   )r[   )r\   )r]   )r^   )r_   )r`   )ra   )rb   )rc   )rd   )re   )rV  )rW  )r  )r  )rb  )r  )rh   )r  )rY  )r\  )r]  )rj   )rk   )rl   )rm   )rn   )ro   )rp   )r  )r  )r  )r  )r`  )r_  )*)
MambaCache)TimmWrapperImageProcessor)rd  )re  )rf  )rg  )rh  )ri  )rj  )rk  )rl  )rm  )rn  )ro  )r  )r  )r  )r  )rs   )rt   )ru   )rv   )rw   )rx   )ry   )rz   )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   )r   )r   )r   )r   )rr  )rs  )rt  )r   )r   )r   )r   )r   )r   )r   )r   )ry  )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   )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   )r   )r   )r   )r   )r   )r   )r   )r   )r   )r   )r   )r   )r   )r   )r   Nmodels)prefix__file____version__)module_specextra_objectszNone of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.(  r  pathlibr   typingr    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   utils.import_utilsr   
get_logger__name__logger_import_structurer   dir
startswithr   r   r   r  extendr  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   r&   r'   r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   data.data_collatorr9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   data.datasetsr  r  r  r  r   r!  r"  r#  r$  rH   rI   rJ   rK   rL   rN   r%  rO   r&  r'  r(  r)  rP   r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r4  r5  rQ   r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rR   rS   r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  rO  rP  rQ  rR  rS  rT   rT  rU  rU   rV   r   r   r   r   r   r   r   r   rY   rZ   r[   r\   r]   r^   r_   r`   ra   rb   rc   rd   re   integrations.executorchrV  rW  r  r  r  rc  rb  r  r  rg   rh   r  r  rZ  rY  r^  r\  r]  ri   rj   rk   rl   rm   rn   ro   rp   r  r  r  r  r  ra  r`  r_  r  models.mamba.modeling_mambar  models.timm_wrapperr  rq  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  r  r  r  r  r  rr   rs   rt   ru   rv   rw   rx   ry   rz   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   r   r   r   r   r   rv  rr  rs  rt  r   r   r   r   r   r   r   r   r   r   r   rz  ry  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   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   r   r   r   utils.quantization_configr   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r  r   sysitemssetr  parentimport_structure	frozensetupdateglobals__spec__moduleswarning_advice)namekvs   000O/var/www/html/saasai/venv/lib/python3.12/site-packages/transformers/__init__.py<module>r     s  *     (	 	 	 J 9 C ; K = O 5 9 E ; E G = % 7 
		H	%e2ee ./e R	e
 22e 0e  e6  7eR BSeT rUeV 2WeX  YeZ  [e\ B]e^ (*D)E_e` 1I Jaeb "ced  eet '(uev Rwex yez  {eV BWeX +Ye\   "]ep Bqer  &se@ )*AeB "CeD REeF 01GeH   IeX  Yej  kex **89.//`"* Ie PO"$,.. % 5N3N/0&(-D-F,.. .G 	" 3./

R'),.. * 9Q7Q34G ,.. ! 3I1I-.3G2H./(E'Fm$I#%,.. & 9Q7Q343G2H./I>,..   	*2-. (*m$(m$.
*o& l#**2	
4p 	/'4/0
 ;=67,H+I'(,.()0EG\/]+,+<>R*S&'*B)Co&)n%*o& &(k"-/)*$-;i -K,L(),<+='(+',..  +-&'l#**	
( -BCV+W'(/1+,.)*,'( %'j!G,..  l#**	
$ 24-.0E/F+, +G99GCC7=I=II3EE77QIZX 524d24::B\<8D^B<8D@fb ULl`\VNR9UMS[;W9kg GZ gRLJ4j:V4FJfn@F>Zbb\FFN@XpbVHHfZZ@>VD>FB>Pb@RXB``V@HDhZXZfNH8^^XBBJ<TV\dl^RDD@@F CDP^BSP]W KFJJHBLHJRJFugKGOi 2OYOO xmqwmqIIIIKK;;HHBBEE[[ 54LLdd``    UT``tt<<BB DCKK11EE VUccIIMMaaQQ??UU[[QQMMGGEEKKOOKK55MMMM//CCQQII[[UUSSKKEEUUEEUU]]ee[[ee]]//BB//UU99 ONAAGG==[[QQ??[[ ,+ MLPPDDFFDDBB>>^^AA??CC==QQ33EE[[LL 2199UUOO;;;;99??33//??CC==99EE??IIIIAACCKKIIKKCCGGGGIIUUGGGGGG DCMMAAQQSS]]CCMMWWIICCEEAAGGEECCIICCPP /@/F/F/HI/Htq!CF/HI.tH~/D/Dx/OX`aYr]#**+<='	*$k2CKK !3!5>O>Q
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