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 XLMRobertaForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 242,426 | 242,588 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,900 |
class XLMRobertaForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 242,591 | 242,759 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,901 |
class XLMRobertaForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 242,762 | 242,933 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,902 |
class XLMRobertaForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 242,936 | 243,112 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,903 |
class XLMRobertaForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 243,115 | 243,288 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,904 |
class XLMRobertaModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 243,291 | 243,447 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,905 |
class XLMRobertaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 243,450 | 243,616 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,906 |
class XLMRobertaXLForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 243,619 | 243,783 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,907 |
class XLMRobertaXLForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 243,786 | 243,950 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,908 |
class XLMRobertaXLForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 243,953 | 244,123 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,909 |
class XLMRobertaXLForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 244,126 | 244,299 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,910 |
class XLMRobertaXLForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 244,302 | 244,480 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,911 |
class XLMRobertaXLForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 244,483 | 244,658 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,912 |
class XLMRobertaXLModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 244,661 | 244,819 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,913 |
class XLMRobertaXLPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 244,822 | 244,990 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,914 |
class XLNetForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 244,993 | 245,156 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,915 |
class XLNetForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 245,159 | 245,325 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,916 |
class XLNetForQuestionAnsweringSimple(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 245,328 | 245,500 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,917 |
class XLNetForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 245,503 | 245,674 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,918 |
class XLNetForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 245,677 | 245,845 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,919 |
class XLNetLMHeadModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 245,848 | 246,005 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,920 |
class XLNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 246,008 | 246,159 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,921 |
class XLNetPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 246,162 | 246,323 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,922 |
class XmodForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 246,434 | 246,590 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,923 |
class XmodForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 246,593 | 246,749 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,924 |
class XmodForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 246,752 | 246,914 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,925 |
class XmodForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 246,917 | 247,082 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,926 |
class XmodForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 247,085 | 247,255 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,927 |
class XmodForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 247,258 | 247,425 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,928 |
class XmodModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 247,428 | 247,578 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,929 |
class XmodPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 247,581 | 247,741 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,930 |
class YolosForObjectDetection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 247,744 | 247,908 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,931 |
class YolosModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 247,911 | 248,062 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,932 |
class YolosPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 248,065 | 248,226 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,933 |
class YosoForMaskedLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 248,229 | 248,385 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,934 |
class YosoForMultipleChoice(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 248,388 | 248,550 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,935 |
class YosoForQuestionAnswering(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 248,553 | 248,718 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,936 |
class YosoForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 248,721 | 248,891 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,937 |
class YosoForTokenClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 248,894 | 249,061 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,938 |
class YosoModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 249,064 | 249,214 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,939 |
class YosoPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 249,217 | 249,377 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,940 |
class ZambaForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 249,380 | 249,537 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,941 |
class ZambaForSequenceClassification(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 249,540 | 249,711 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,942 |
class ZambaModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 249,714 | 249,865 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,943 |
class ZambaPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 249,868 | 250,029 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,944 |
class ZoeDepthForDepthEstimation(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 250,032 | 250,199 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,945 |
class ZoeDepthPreTrainedModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 250,202 | 250,366 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,946 |
class Adafactor(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 250,369 | 250,519 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,947 |
class AdamW(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 250,522 | 250,668 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,948 |
class Conv1D(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 251,733 | 251,880 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,949 |
class Trainer(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 252,075 | 252,223 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,950 |
class Seq2SeqTrainer(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) | class_definition | 252,342 | 252,497 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_pt_objects.py | null | 1,951 |
class TFGPT2Tokenizer(metaclass=DummyObject):
_backends = ["keras_nlp"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["keras_nlp"]) | class_definition | 129 | 293 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_keras_nlp_objects.py | null | 1,952 |
class MusicgenMelodyFeatureExtractor(metaclass=DummyObject):
_backends = ["torchaudio"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchaudio"]) | class_definition | 129 | 310 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchaudio_objects.py | null | 1,953 |
class MusicgenMelodyProcessor(metaclass=DummyObject):
_backends = ["torchaudio"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchaudio"]) | class_definition | 313 | 487 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchaudio_objects.py | null | 1,954 |
class cached_property(property):
"""
Descriptor that mimics @property but caches output in member variable.
From tensorflow_datasets
Built-in in functools from Python 3.8.
"""
def __get__(self, obj, objtype=None):
# See docs.python.org/3/howto/descriptor.html#properties
if obj... | class_definition | 1,252 | 1,906 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,955 |
class ModelOutput(OrderedDict):
"""
Base class for all model outputs as dataclass. Has a `__getitem__` that allows indexing by integer or slice (like a
tuple) or strings (like a dictionary) that will ignore the `None` attributes. Otherwise behaves like a regular
python dictionary.
<Tip warning={tru... | class_definition | 8,842 | 15,214 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,956 |
class ExplicitEnum(str, Enum):
"""
Enum with more explicit error message for missing values.
"""
@classmethod
def _missing_(cls, value):
raise ValueError(
f"{value} is not a valid {cls.__name__}, please select one of {list(cls._value2member_map_.keys())}"
) | class_definition | 16,194 | 16,500 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,957 |
class PaddingStrategy(ExplicitEnum):
"""
Possible values for the `padding` argument in [`PreTrainedTokenizerBase.__call__`]. Useful for tab-completion in an
IDE.
"""
LONGEST = "longest"
MAX_LENGTH = "max_length"
DO_NOT_PAD = "do_not_pad" | class_definition | 16,503 | 16,769 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,958 |
class TensorType(ExplicitEnum):
"""
Possible values for the `return_tensors` argument in [`PreTrainedTokenizerBase.__call__`]. Useful for
tab-completion in an IDE.
"""
PYTORCH = "pt"
TENSORFLOW = "tf"
NUMPY = "np"
JAX = "jax"
MLX = "mlx" | class_definition | 16,772 | 17,046 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,959 |
class ContextManagers:
"""
Wrapper for `contextlib.ExitStack` which enters a collection of context managers. Adaptation of `ContextManagers`
in the `fastcore` library.
"""
def __init__(self, context_managers: List[ContextManager]):
self.context_managers = context_managers
self.stack... | class_definition | 17,049 | 17,604 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,960 |
class LossKwargs(TypedDict, total=False):
"""
Keyword arguments to be passed to the loss function
Attributes:
num_items_in_batch (`int`, *optional*):
Number of items in the batch. It is recommended to pass it when
you are doing gradient accumulation.
"""
num_items_i... | class_definition | 28,105 | 28,447 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/generic.py | null | 1,961 |
class ImageProcessingMixin(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 129 | 292 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,962 |
class BaseImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 295 | 456 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,963 |
class ImageFeatureExtractionMixin(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 459 | 629 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,964 |
class AriaImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 632 | 793 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,965 |
class BeitFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 796 | 959 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,966 |
class BeitImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 962 | 1,123 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,967 |
class BitImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 1,126 | 1,286 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,968 |
class BlipImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 1,289 | 1,450 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,969 |
class BridgeTowerImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 1,453 | 1,621 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,970 |
class ChameleonImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 1,624 | 1,790 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,971 |
class ChineseCLIPFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 1,793 | 1,963 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,972 |
class ChineseCLIPImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 1,966 | 2,134 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,973 |
class CLIPFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 2,137 | 2,300 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,974 |
class CLIPImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 2,303 | 2,464 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,975 |
class ConditionalDetrFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 2,467 | 2,641 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,976 |
class ConditionalDetrImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 2,644 | 2,816 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,977 |
class ConvNextFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 2,819 | 2,986 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,978 |
class ConvNextImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 2,989 | 3,154 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,979 |
class DeformableDetrFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 3,157 | 3,330 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,980 |
class DeformableDetrImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 3,333 | 3,504 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,981 |
class DeiTFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 3,507 | 3,670 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,982 |
class DeiTImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 3,673 | 3,834 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,983 |
class DetaImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 3,837 | 3,998 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,984 |
class EfficientFormerImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 4,001 | 4,173 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,985 |
class TvltImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 4,176 | 4,337 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,986 |
class ViTHybridImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 4,340 | 4,506 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,987 |
class DetrFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 4,509 | 4,672 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,988 |
class DetrImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 4,675 | 4,836 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,989 |
class DonutFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 4,839 | 5,003 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,990 |
class DonutImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 5,006 | 5,168 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,991 |
class DPTFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 5,171 | 5,333 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,992 |
class DPTImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 5,336 | 5,496 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,993 |
class EfficientNetImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 5,499 | 5,668 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,994 |
class Emu3ImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 5,671 | 5,832 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,995 |
class FlavaFeatureExtractor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 5,835 | 5,999 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,996 |
class FlavaImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 6,002 | 6,164 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,997 |
class FlavaProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 6,167 | 6,324 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,998 |
class FuyuImageProcessor(metaclass=DummyObject):
_backends = ["vision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["vision"]) | class_definition | 6,327 | 6,488 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_vision_objects.py | null | 1,999 |
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