FM / utils

/usr/local/lib/python3.6/site-packages/transformers/utils/

/usr/local/lib/python3.6/site-packages/transformers/utils

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
doc.py	38836	0644	edit dl rm
dummy_detectron2_objects.py	391	0644	edit dl rm
dummy_flax_objects.py	24855	0644	edit dl rm
dummy_pt_objects.py	111443	0644	edit dl rm
dummy_pytorch_quantization_and_torch_objects.py	2476	0644	edit dl rm
dummy_scatter_objects.py	1138	0644	edit dl rm
dummy_sentencepiece_and_speech_objects.py	342	0644	edit dl rm
dummy_sentencepiece_and_tokenizers_objects.py	301	0644	edit dl rm
dummy_sentencepiece_objects.py	4371	0644	edit dl rm
dummy_speech_objects.py	315	0644	edit dl rm
dummy_tf_objects.py	50456	0644	edit dl rm
dummy_timm_and_vision_objects.py	903	0644	edit dl rm
dummy_timm_objects.py	805	0644	edit dl rm
dummy_tokenizers_objects.py	8173	0644	edit dl rm
dummy_vision_objects.py	3486	0644	edit dl rm
fx.py	23186	0644	edit dl rm
fx_transformations.py	12178	0644	edit dl rm
generic.py	9820	0644	edit dl rm
hp_naming.py	4971	0644	edit dl rm
hub.py	42932	0644	edit dl rm
import_utils.py	29288	0644	edit dl rm
logging.py	9516	0644	edit dl rm
model_parallel_utils.py	2276	0644	edit dl rm
notebook.py	14524	0644	edit dl rm
sentencepiece_model_pb2.py	39607	0644	edit dl rm
versions.py	4378	0644	edit dl rm
__init__.py	5055	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/utils/dummy_scatter_objects.py (1138B)

# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends

TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST = None

class TapasForMaskedLM(metaclass=DummyObject):
    _backends = ["scatter"]

def __init__(self, *args, **kwargs):
        requires_backends(self, ["scatter"])

class TapasForQuestionAnswering(metaclass=DummyObject):
    _backends = ["scatter"]

def __init__(self, *args, **kwargs):
        requires_backends(self, ["scatter"])

class TapasForSequenceClassification(metaclass=DummyObject):
    _backends = ["scatter"]

def __init__(self, *args, **kwargs):
        requires_backends(self, ["scatter"])

class TapasModel(metaclass=DummyObject):
    _backends = ["scatter"]

def __init__(self, *args, **kwargs):
        requires_backends(self, ["scatter"])

class TapasPreTrainedModel(metaclass=DummyObject):
    _backends = ["scatter"]

def __init__(self, *args, **kwargs):
        requires_backends(self, ["scatter"])

def load_tf_weights_in_tapas(*args, **kwargs):
    requires_backends(load_tf_weights_in_tapas, ["scatter"])

# This file is autogenerated by the command `make fix-copies`, do not edit. # flake8: noqa from ..utils import DummyObject, requires_backends TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST = None class TapasForMaskedLM(metaclass=DummyObject): _backends = ["scatter"] def __init__(self, *args, **kwargs): requires_backends(self, ["scatter"]) class TapasForQuestionAnswering(metaclass=DummyObject): _backends = ["scatter"] def __init__(self, *args, **kwargs): requires_backends(self, ["scatter"]) class TapasForSequenceClassification(metaclass=DummyObject): _backends = ["scatter"] def __init__(self, *args, **kwargs): requires_backends(self, ["scatter"]) class TapasModel(metaclass=DummyObject): _backends = ["scatter"] def __init__(self, *args, **kwargs): requires_backends(self, ["scatter"]) class TapasPreTrainedModel(metaclass=DummyObject): _backends = ["scatter"] def __init__(self, *args, **kwargs): requires_backends(self, ["scatter"]) def load_tf_weights_in_tapas(*args, **kwargs): requires_backends(load_tf_weights_in_tapas, ["scatter"])