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class BloomForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 40,788
| 40,954
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 700
|
class BloomForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 40,957
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 701
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class BloomForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 41,131
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 702
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class BloomModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
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class BloomPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 41,456
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 704
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class BridgeTowerForContrastiveLearning(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 41,620
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 705
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class BridgeTowerForImageAndTextRetrieval(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 41,797
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| 0
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 706
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class BridgeTowerForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 41,976
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 707
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class BridgeTowerModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 42,142
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 708
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class BridgeTowerPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 42,302
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 709
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class BrosForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 42,472
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 710
|
class BrosModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 42,642
| 42,792
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 711
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class BrosPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 42,795
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 712
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class BrosProcessor(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 42,958
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 713
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class BrosSpadeEEForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 43,115
| 43,289
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 714
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class BrosSpadeELForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 43,292
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| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 715
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class CamembertForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 43,469
| 43,630
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 716
|
class CamembertForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 43,633
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 717
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class CamembertForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 43,797
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 718
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class CamembertForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 43,967
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 719
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class CamembertForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 44,140
| 44,315
| 0
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 720
|
class CamembertForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 44,318
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| 0
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 721
|
class CamembertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 44,493
| 44,648
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 722
|
class CamembertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 44,651
| 44,816
| 0
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 723
|
class CanineForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 44,819
| 44,983
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 724
|
class CanineForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 44,986
| 45,153
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 725
|
class CanineForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 45,156
| 45,328
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 726
|
class CanineForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 45,331
| 45,500
| 0
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 727
|
class CanineModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 45,503
| 45,655
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 728
|
class CaninePreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 45,658
| 45,820
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 729
|
class ChameleonForConditionalGeneration(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 45,933
| 46,107
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 730
|
class ChameleonModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 46,110
| 46,265
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 731
|
class ChameleonPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 46,268
| 46,433
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 732
|
class ChameleonProcessor(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 46,436
| 46,595
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 733
|
class ChameleonVQVAE(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 46,598
| 46,753
| 0
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/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 734
|
class ChineseCLIPModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 46,756
| 46,913
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 735
|
class ChineseCLIPPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 46,916
| 47,083
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 736
|
class ChineseCLIPTextModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 47,086
| 47,247
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 737
|
class ChineseCLIPVisionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 47,250
| 47,413
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 738
|
class ClapAudioModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 47,416
| 47,571
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 739
|
class ClapAudioModelWithProjection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 47,574
| 47,743
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 740
|
class ClapFeatureExtractor(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 47,746
| 47,907
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 741
|
class ClapModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 47,910
| 48,060
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 742
|
class ClapPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 48,063
| 48,223
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 743
|
class ClapTextModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 48,226
| 48,380
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 744
|
class ClapTextModelWithProjection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 48,383
| 48,551
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 745
|
class CLIPForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 48,554
| 48,721
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 746
|
class CLIPModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 48,724
| 48,874
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 747
|
class CLIPPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 48,877
| 49,037
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 748
|
class CLIPTextModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 49,040
| 49,194
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 749
|
class CLIPTextModelWithProjection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 49,197
| 49,365
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 750
|
class CLIPVisionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 49,368
| 49,524
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 751
|
class CLIPVisionModelWithProjection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 49,527
| 49,697
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 752
|
class CLIPSegForImageSegmentation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 49,700
| 49,868
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 753
|
class CLIPSegModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 49,871
| 50,024
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 754
|
class CLIPSegPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,027
| 50,190
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 755
|
class CLIPSegTextModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,193
| 50,350
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 756
|
class CLIPSegVisionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,353
| 50,512
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 757
|
class ClvpDecoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,515
| 50,667
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 758
|
class ClvpEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,670
| 50,822
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 759
|
class ClvpForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,825
| 50,981
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 760
|
class ClvpModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 50,984
| 51,134
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 761
|
class ClvpModelForConditionalGeneration(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 51,137
| 51,311
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 762
|
class ClvpPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 51,314
| 51,474
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 763
|
class CodeGenForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 51,477
| 51,636
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 764
|
class CodeGenModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 51,639
| 51,792
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 765
|
class CodeGenPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 51,795
| 51,958
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 766
|
class CohereForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 51,961
| 52,119
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 767
|
class CohereModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 52,122
| 52,274
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 768
|
class CoherePreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 52,277
| 52,439
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 769
|
class Cohere2ForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 52,442
| 52,601
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 770
|
class Cohere2Model(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 52,604
| 52,757
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 771
|
class Cohere2PreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 52,760
| 52,923
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 772
|
class ColPaliForRetrieval(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 52,926
| 53,086
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 773
|
class ColPaliPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 53,089
| 53,252
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 774
|
class ConditionalDetrForObjectDetection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 53,255
| 53,429
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 775
|
class ConditionalDetrForSegmentation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 53,432
| 53,603
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 776
|
class ConditionalDetrModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 53,606
| 53,767
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 777
|
class ConditionalDetrPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 53,770
| 53,941
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 778
|
class ConvBertForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 53,944
| 54,104
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 779
|
class ConvBertForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 54,107
| 54,273
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 780
|
class ConvBertForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 54,276
| 54,445
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 781
|
class ConvBertForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 54,448
| 54,622
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 782
|
class ConvBertForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 54,625
| 54,796
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 783
|
class ConvBertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 54,799
| 54,953
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 784
|
class ConvBertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 54,956
| 55,120
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 785
|
class ConvNextBackbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 55,237
| 55,394
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 786
|
class ConvNextForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 55,397
| 55,568
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 787
|
class ConvNextModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 55,571
| 55,725
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 788
|
class ConvNextPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 55,728
| 55,892
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 789
|
class ConvNextV2Backbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 55,895
| 56,054
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 790
|
class ConvNextV2ForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 56,057
| 56,230
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 791
|
class ConvNextV2Model(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 56,233
| 56,389
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 792
|
class ConvNextV2PreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 56,392
| 56,558
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 793
|
class CpmAntForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 56,561
| 56,719
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 794
|
class CpmAntModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 56,722
| 56,874
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 795
|
class CpmAntPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 56,877
| 57,039
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 796
|
class CTRLForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 57,042
| 57,212
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 797
|
class CTRLLMHeadModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 57,215
| 57,371
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 798
|
class CTRLModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 57,374
| 57,524
| 0
|
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 799
|
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