text stringlengths 1 1.02k | class_index int64 0 10.8k | source stringlengths 85 188 |
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class UMT5Model(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,786 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UMT5PreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,787 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechForCTC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,788 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,789 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,790 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,791 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,792 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatForAudioFrameClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,793 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatForCTC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,794 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,795 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,796 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatForXVector(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,797 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,798 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UniSpeechSatPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,799 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UnivNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,800 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UperNetForSemanticSegmentation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,801 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class UperNetPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,802 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoLlavaForConditionalGeneration(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,803 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoLlavaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,804 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoLlavaProcessor(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,805 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoMAEForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,806 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoMAEForVideoClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,807 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoMAEModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,808 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VideoMAEPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,809 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltForImageAndTextRetrieval(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,810 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltForImagesAndTextClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,811 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,812 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,813 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,814 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,815 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViltPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,816 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VipLlavaForConditionalGeneration(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,817 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VipLlavaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,818 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisionEncoderDecoderModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,819 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisionTextDualEncoderModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,820 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,821 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,822 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,823 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertForRegionToPhraseAlignment(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,824 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertForVisualReasoning(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,825 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,826 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VisualBertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,827 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,828 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTForMaskedImageModeling(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,829 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,830 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,831 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTMAEForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,832 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTMAEModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,833 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTMAEPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,834 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTMSNForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,835 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTMSNModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,836 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class ViTMSNPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,837 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitDetBackbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,838 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitDetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,839 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitDetPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,840 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitMatteForImageMatting(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,841 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitMattePreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,842 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitPoseForPoseEstimation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,843 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitPosePreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,844 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitPoseBackbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,845 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitPoseBackbonePreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,846 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitsModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,847 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VitsPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,848 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VivitForVideoClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,849 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VivitModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,850 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class VivitPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,851 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ForAudioFrameClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,852 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ForCTC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,853 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,854 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,855 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,856 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ForXVector(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,857 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2Model(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,858 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2PreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,859 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2BertForAudioFrameClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,860 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2BertForCTC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,861 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2BertForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,862 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2BertForXVector(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,863 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2BertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,864 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2BertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,865 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerForAudioFrameClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,866 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerForCTC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,867 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,868 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,869 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerForXVector(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,870 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,871 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class Wav2Vec2ConformerPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,872 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WavLMForAudioFrameClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,873 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WavLMForCTC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,874 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WavLMForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,875 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WavLMForXVector(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,876 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WavLMModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,877 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WavLMPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,878 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WhisperForAudioClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,879 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WhisperForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,880 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WhisperForConditionalGeneration(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,881 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WhisperModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,882 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class WhisperPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,883 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class XCLIPModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,884 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
class XCLIPPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | 1,885 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py |
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