text stringlengths 31 243k | type stringclasses 1
value | start int64 36 275k | end int64 286 280k | depth int64 0 1 | filepath stringlengths 85 188 | parent_class stringclasses 3
values | class_index int64 0 10.8k |
|---|---|---|---|---|---|---|---|
class TFSegformerForSemanticSegmentation(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 55,415 | 55,584 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,400 |
class TFSegformerModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 55,587 | 55,738 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,401 |
class TFSegformerPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 55,741 | 55,902 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,402 |
class TFSpeech2TextForConditionalGeneration(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 55,905 | 56,077 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,403 |
class TFSpeech2TextModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 56,080 | 56,233 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,404 |
class TFSpeech2TextPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 56,236 | 56,399 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,405 |
class TFSwiftFormerForImageClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 56,402 | 56,572 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,406 |
class TFSwiftFormerModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 56,575 | 56,728 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,407 |
class TFSwiftFormerPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 56,731 | 56,894 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,408 |
class TFSwinForImageClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 56,897 | 57,060 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,409 |
class TFSwinForMaskedImageModeling(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 57,063 | 57,226 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,410 |
class TFSwinModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 57,229 | 57,375 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,411 |
class TFSwinPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 57,378 | 57,534 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,412 |
class TFT5EncoderModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 57,537 | 57,688 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,413 |
class TFT5ForConditionalGeneration(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 57,691 | 57,854 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,414 |
class TFT5Model(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 57,857 | 58,001 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,415 |
class TFT5PreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,004 | 58,158 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,416 |
class TFTapasForMaskedLM(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,161 | 58,314 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,417 |
class TFTapasForQuestionAnswering(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,317 | 58,479 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,418 |
class TFTapasForSequenceClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,482 | 58,649 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,419 |
class TFTapasModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,652 | 58,799 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,420 |
class TFTapasPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,802 | 58,959 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,421 |
class TFVisionEncoderDecoderModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 58,962 | 59,124 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,422 |
class TFVisionTextDualEncoderModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 59,127 | 59,290 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,423 |
class TFViTForImageClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 59,293 | 59,455 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,424 |
class TFViTModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 59,458 | 59,603 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,425 |
class TFViTPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 59,606 | 59,761 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,426 |
class TFViTMAEForPreTraining(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 59,764 | 59,921 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,427 |
class TFViTMAEModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 59,924 | 60,072 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,428 |
class TFViTMAEPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 60,075 | 60,233 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,429 |
class TFWav2Vec2ForCTC(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 60,236 | 60,387 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,430 |
class TFWav2Vec2ForSequenceClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 60,390 | 60,560 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,431 |
class TFWav2Vec2Model(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 60,563 | 60,713 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,432 |
class TFWav2Vec2PreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 60,716 | 60,876 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,433 |
class TFWhisperForConditionalGeneration(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 60,879 | 61,047 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,434 |
class TFWhisperModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,050 | 61,199 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,435 |
class TFWhisperPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,202 | 61,361 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,436 |
class TFXGLMForCausalLM(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,364 | 61,516 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,437 |
class TFXGLMModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,519 | 61,665 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,438 |
class TFXGLMPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,668 | 61,824 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,439 |
class TFXLMForMultipleChoice(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,827 | 61,984 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,440 |
class TFXLMForQuestionAnsweringSimple(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 61,987 | 62,153 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,441 |
class TFXLMForSequenceClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 62,156 | 62,321 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,442 |
class TFXLMForTokenClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 62,324 | 62,486 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,443 |
class TFXLMMainLayer(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 62,489 | 62,638 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,444 |
class TFXLMModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 62,641 | 62,786 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,445 |
class TFXLMPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 62,789 | 62,944 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,446 |
class TFXLMWithLMHeadModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 62,947 | 63,102 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,447 |
class TFXLMRobertaForCausalLM(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 63,105 | 63,263 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,448 |
class TFXLMRobertaForMaskedLM(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 63,266 | 63,424 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,449 |
class TFXLMRobertaForMultipleChoice(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 63,427 | 63,591 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,450 |
class TFXLMRobertaForQuestionAnswering(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 63,594 | 63,761 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,451 |
class TFXLMRobertaForSequenceClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 63,764 | 63,936 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,452 |
class TFXLMRobertaForTokenClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 63,939 | 64,108 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,453 |
class TFXLMRobertaModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 64,111 | 64,263 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,454 |
class TFXLMRobertaPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 64,266 | 64,428 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,455 |
class TFXLNetForMultipleChoice(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 64,431 | 64,590 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,456 |
class TFXLNetForQuestionAnsweringSimple(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 64,593 | 64,761 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,457 |
class TFXLNetForSequenceClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 64,764 | 64,931 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,458 |
class TFXLNetForTokenClassification(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 64,934 | 65,098 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,459 |
class TFXLNetLMHeadModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 65,101 | 65,254 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,460 |
class TFXLNetMainLayer(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 65,257 | 65,408 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,461 |
class TFXLNetModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 65,411 | 65,558 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,462 |
class TFXLNetPreTrainedModel(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 65,561 | 65,718 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,463 |
class AdamWeightDecay(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 65,721 | 65,871 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,464 |
class GradientAccumulator(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 65,874 | 66,028 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,465 |
class WarmUp(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) | class_definition | 66,031 | 66,172 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tf_objects.py | null | 2,466 |
class TypeHintParsingException(Exception):
"""Exception raised for errors in parsing type hints to generate JSON schemas"""
pass | class_definition | 2,256 | 2,393 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/chat_template_utils.py | null | 2,467 |
class DocstringParsingException(Exception):
"""Exception raised for errors in parsing docstrings to generate JSON schemas"""
pass | class_definition | 2,396 | 2,534 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/chat_template_utils.py | null | 2,468 |
class AssistantTracker(Extension):
# This extension is used to track the indices of assistant-generated tokens in the rendered chat
tags = {"generation"}
def __init__(self, environment: ImmutableSandboxedEnvironment):
# The class is only initiated by jinja.
super().__ini... | class_definition | 14,166 | 16,107 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/chat_template_utils.py | null | 2,469 |
class PushToHubMixin:
"""
A Mixin containing the functionality to push a model or tokenizer to the hub.
"""
def _create_repo(
self,
repo_id: str,
private: Optional[bool] = None,
token: Optional[Union[bool, str]] = None,
repo_url: Optional[str] = None,
org... | class_definition | 30,571 | 42,477 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py | null | 2,470 |
class PushInProgress:
"""
Internal class to keep track of a push in progress (which might contain multiple `Future` jobs).
"""
def __init__(self, jobs: Optional[futures.Future] = None) -> None:
self.jobs = [] if jobs is None else jobs
def is_done(self):
return all(job.done() for jo... | class_definition | 55,171 | 55,829 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py | null | 2,471 |
class ASTFeatureExtractor(metaclass=DummyObject):
_backends = ["speech"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["speech"]) | class_definition | 129 | 291 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_speech_objects.py | null | 2,472 |
class Speech2TextFeatureExtractor(metaclass=DummyObject):
_backends = ["speech"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["speech"]) | class_definition | 294 | 464 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_speech_objects.py | null | 2,473 |
class BaseImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | class_definition | 129 | 304 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py | null | 2,474 |
class DeformableDetrImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | class_definition | 307 | 492 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py | null | 2,475 |
class DetrImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | class_definition | 495 | 670 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py | null | 2,476 |
class PixtralImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | class_definition | 673 | 851 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py | null | 2,477 |
class RTDetrImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | class_definition | 854 | 1,031 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py | null | 2,478 |
class ViTImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | class_definition | 1,034 | 1,208 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py | null | 2,479 |
class BackboneType(enum.Enum):
TIMM = "timm"
TRANSFORMERS = "transformers" | class_definition | 856 | 938 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py | null | 2,480 |
class BackboneMixin:
backbone_type: Optional[BackboneType] = None
def _init_timm_backbone(self, config) -> None:
"""
Initialize the backbone model from timm The backbone must already be loaded to self._backbone
"""
if getattr(self, "_backbone", None) is None:
raise V... | class_definition | 6,912 | 12,057 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py | null | 2,481 |
class BackboneConfigMixin:
"""
A Mixin to support handling the `out_features` and `out_indices` attributes for the backbone configurations.
"""
@property
def out_features(self):
return self._out_features
@out_features.setter
def out_features(self, out_features: List[str]):
... | class_definition | 12,060 | 13,608 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py | null | 2,482 |
class AlbertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 129 | 299 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,483 |
class BartTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 302 | 470 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,484 |
class BarthezTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 473 | 644 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,485 |
class BertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 647 | 815 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,486 |
class BigBirdTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 818 | 989 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,487 |
class BlenderbotTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 992 | 1,166 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,488 |
class BlenderbotSmallTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 1,169 | 1,348 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,489 |
class BloomTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 1,351 | 1,520 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,490 |
class CamembertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 1,523 | 1,696 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,491 |
class CLIPTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 1,699 | 1,867 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,492 |
class CodeLlamaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 1,870 | 2,043 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,493 |
class CodeGenTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 2,046 | 2,217 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,494 |
class CohereTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 2,220 | 2,390 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,495 |
class ConvBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 2,393 | 2,565 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,496 |
class CpmTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 2,568 | 2,735 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,497 |
class DebertaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 2,738 | 2,909 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,498 |
class DebertaV2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 2,912 | 3,085 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,499 |
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