FM / yoso

/usr/local/lib/python3.6/site-packages/transformers/models/yoso/

/usr/local/lib/python3.6/site-packages/transformers/models/yoso

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_yoso.py	6879	0644	edit dl rm
convert_yoso_pytorch_to_pytorch.py	4116	0644	edit dl rm
modeling_yoso.py	54802	0644	edit dl rm
__init__.py	2009	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/yoso/__init__.py (2009B)

# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import _LazyModule, is_tokenizers_available, is_torch_available

_import_structure = {
    "configuration_yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"],
}

if is_torch_available():
    _import_structure["modeling_yoso"] = [
        "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST",
        "YosoForMaskedLM",
        "YosoForMultipleChoice",
        "YosoForQuestionAnswering",
        "YosoForSequenceClassification",
        "YosoForTokenClassification",
        "YosoLayer",
        "YosoModel",
        "YosoPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

if is_torch_available():
        from .modeling_yoso import (
            YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
            YosoForMaskedLM,
            YosoForMultipleChoice,
            YosoForQuestionAnswering,
            YosoForSequenceClassification,
            YosoForTokenClassification,
            YosoLayer,
            YosoModel,
            YosoPreTrainedModel,
        )

else:
    import sys

sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)

# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. # Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import TYPE_CHECKING # rely on isort to merge the imports from ...utils import _LazyModule, is_tokenizers_available, is_torch_available _import_structure = { "configuration_yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"], } if is_torch_available(): _import_structure["modeling_yoso"] = [ "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST", "YosoForMaskedLM", "YosoForMultipleChoice", "YosoForQuestionAnswering", "YosoForSequenceClassification", "YosoForTokenClassification", "YosoLayer", "YosoModel", "YosoPreTrainedModel", ] if TYPE_CHECKING: from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig if is_torch_available(): from .modeling_yoso import ( YOSO_PRETRAINED_MODEL_ARCHIVE_LIST, YosoForMaskedLM, YosoForMultipleChoice, YosoForQuestionAnswering, YosoForSequenceClassification, YosoForTokenClassification, YosoLayer, YosoModel, YosoPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)