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class RecurrentGemmaPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ReformerForMaskedLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ReformerForQuestionAnswering(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ReformerForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ReformerModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ReformerModelWithLMHead(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ReformerPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RegNetForImageClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RegNetModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RegNetPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertForCausalLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertForMaskedLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertForMultipleChoice(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertForQuestionAnswering(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertForTokenClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RemBertPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ResNetBackbone(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ResNetForImageClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ResNetModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class ResNetPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaForCausalLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaForMaskedLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaForMultipleChoice(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaForQuestionAnswering(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaForTokenClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormForCausalLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormForMaskedLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormForMultipleChoice(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormForQuestionAnswering(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormForTokenClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RobertaPreLayerNormPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForCausalLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForMaskedLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForMultipleChoice(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForPreTraining(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForQuestionAnswering(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertForTokenClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoCBertPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerForCausalLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerForMaskedLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerForMultipleChoice(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerForQuestionAnswering(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerForTokenClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RoFormerPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RTDetrForObjectDetection(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RTDetrModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RTDetrPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RTDetrResNetBackbone(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RTDetrResNetPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RwkvForCausalLM(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RwkvModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class RwkvPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SamModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SamPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TCodeHifiGan(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TForSpeechToSpeech(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TForSpeechToText(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TForTextToSpeech(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TForTextToText(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4THifiGan(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TTextToUnitForConditionalGeneration(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4TTextToUnitModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4Tv2ForSpeechToSpeech(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4Tv2ForSpeechToText(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4Tv2ForTextToSpeech(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4Tv2ForTextToText(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4Tv2Model(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SeamlessM4Tv2PreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegformerDecodeHead(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegformerForImageClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegformerForSemanticSegmentation(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegformerModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegformerPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegGptForImageSegmentation(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegGptModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SegGptPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWForCTC(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWDForCTC(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWDForSequenceClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWDModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SEWDPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SiglipForImageClassification(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SiglipModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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class SiglipPreTrainedModel(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"])
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