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class NezhaForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 74,233 | 74,401 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 900 |
class NezhaModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 74,404 | 74,555 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 901 |
class NezhaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 74,558 | 74,719 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 902 |
class OpenLlamaForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 74,722 | 74,883 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 903 |
class OpenLlamaForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 74,886 | 75,061 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 904 |
class OpenLlamaModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 75,064 | 75,219 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 905 |
class OpenLlamaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 75,222 | 75,387 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 906 |
class QDQBertForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 75,390 | 75,549 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 907 |
class QDQBertForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 75,552 | 75,717 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 908 |
class QDQBertForNextSentencePrediction(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 75,720 | 75,893 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 909 |
class QDQBertForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 75,896 | 76,064 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 910 |
class QDQBertForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 76,067 | 76,240 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 911 |
class QDQBertForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 76,243 | 76,413 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 912 |
class QDQBertLMHeadModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 76,416 | 76,575 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 913 |
class QDQBertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 76,578 | 76,731 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 914 |
class QDQBertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 76,734 | 76,897 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 915 |
class RealmEmbedder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,012 | 77,166 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 916 |
class RealmForOpenQA(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,169 | 77,324 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 917 |
class RealmKnowledgeAugEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,327 | 77,492 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 918 |
class RealmPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,495 | 77,656 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 919 |
class RealmReader(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,659 | 77,811 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 920 |
class RealmRetriever(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,814 | 77,969 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 921 |
class RealmScorer(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 77,972 | 78,124 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 922 |
class RetriBertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 78,235 | 78,390 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 923 |
class RetriBertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 78,393 | 78,558 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 924 |
class Speech2Text2ForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 78,561 | 78,725 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 925 |
class Speech2Text2PreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 78,728 | 78,896 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 926 |
class TrajectoryTransformerModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 78,899 | 79,066 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 927 |
class TrajectoryTransformerPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 79,069 | 79,246 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 928 |
class AdaptiveEmbedding(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 79,249 | 79,407 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 929 |
class TransfoXLForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 79,410 | 79,585 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 930 |
class TransfoXLLMHeadModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 79,588 | 79,749 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 931 |
class TransfoXLModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 79,752 | 79,907 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 932 |
class TransfoXLPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 79,910 | 80,075 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 933 |
class TvltForAudioVisualClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 80,196 | 80,369 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 934 |
class TvltForPreTraining(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 80,372 | 80,531 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 935 |
class TvltModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 80,534 | 80,684 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 936 |
class TvltPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 80,687 | 80,847 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 937 |
class VanForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 80,850 | 81,016 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 938 |
class VanModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,019 | 81,168 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 939 |
class VanPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,171 | 81,330 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 940 |
class ViTHybridForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,333 | 81,505 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 941 |
class ViTHybridModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,508 | 81,663 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 942 |
class ViTHybridPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,666 | 81,831 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 943 |
class XLMProphetNetDecoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,834 | 81,995 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 944 |
class XLMProphetNetEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 81,998 | 82,159 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 945 |
class XLMProphetNetForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 82,162 | 82,327 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 946 |
class XLMProphetNetForConditionalGeneration(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 82,330 | 82,508 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 947 |
class XLMProphetNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 82,511 | 82,670 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 948 |
class XLMProphetNetPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 82,673 | 82,842 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 949 |
class DepthAnythingForDepthEstimation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 82,845 | 83,017 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 950 |
class DepthAnythingPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 83,020 | 83,189 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 951 |
class DetrForObjectDetection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 83,192 | 83,355 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 952 |
class DetrForSegmentation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 83,358 | 83,518 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 953 |
class DetrModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 83,521 | 83,671 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 954 |
class DetrPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 83,674 | 83,834 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 955 |
class DiffLlamaForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 83,837 | 83,998 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 956 |
class DiffLlamaForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 84,001 | 84,171 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 957 |
class DiffLlamaForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 84,174 | 84,349 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 958 |
class DiffLlamaForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 84,352 | 84,524 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 959 |
class DiffLlamaModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 84,527 | 84,682 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 960 |
class DiffLlamaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 84,685 | 84,850 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 961 |
class DinatBackbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 84,853 | 85,007 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 962 |
class DinatForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,010 | 85,178 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 963 |
class DinatModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,181 | 85,332 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 964 |
class DinatPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,335 | 85,496 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 965 |
class Dinov2Backbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,499 | 85,654 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 966 |
class Dinov2ForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,657 | 85,826 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 967 |
class Dinov2Model(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,829 | 85,981 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 968 |
class Dinov2PreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 85,984 | 86,146 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 969 |
class Dinov2WithRegistersBackbone(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 86,149 | 86,317 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 970 |
class Dinov2WithRegistersForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 86,320 | 86,502 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 971 |
class Dinov2WithRegistersModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 86,505 | 86,670 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 972 |
class Dinov2WithRegistersPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 86,673 | 86,848 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 973 |
class DistilBertForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 86,851 | 87,013 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 974 |
class DistilBertForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 87,016 | 87,184 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 975 |
class DistilBertForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 87,187 | 87,358 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 976 |
class DistilBertForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 87,361 | 87,537 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 977 |
class DistilBertForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 87,540 | 87,713 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 978 |
class DistilBertModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 87,716 | 87,872 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 979 |
class DistilBertPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 87,875 | 88,041 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 980 |
class DonutSwinModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 88,044 | 88,199 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 981 |
class DonutSwinPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 88,202 | 88,367 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 982 |
class DPRContextEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 88,370 | 88,528 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 983 |
class DPRPretrainedContextEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 88,531 | 88,699 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 984 |
class DPRPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 88,702 | 88,861 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 985 |
class DPRPretrainedQuestionEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 88,864 | 89,033 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 986 |
class DPRPretrainedReader(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 89,036 | 89,196 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 987 |
class DPRQuestionEncoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 89,199 | 89,358 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 988 |
class DPRReader(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 89,361 | 89,511 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 989 |
class DPTForDepthEstimation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 89,514 | 89,676 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 990 |
class DPTForSemanticSegmentation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 89,679 | 89,846 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 991 |
class DPTModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 89,849 | 89,998 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 992 |
class DPTPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,001 | 90,160 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 993 |
class EfficientNetForImageClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,163 | 90,338 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 994 |
class EfficientNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,341 | 90,499 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 995 |
class EfficientNetPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,502 | 90,670 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 996 |
class ElectraForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,673 | 90,832 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 997 |
class ElectraForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,835 | 90,994 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 998 |
class ElectraForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
|
class_definition
| 90,997 | 91,162 | 0 |
/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py
| null | 999 |
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