FM / nystromformer

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_nystromformer.py	6622	0644	edit dl rm
convert_nystromformer_original_pytorch_checkpoint_to_pytorch.py	4198	0644	edit dl rm
modeling_nystromformer.py	47391	0644	edit dl rm
__init__.py	2265	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/nystromformer/__init__.py (2265B)

# 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_nystromformer": ["NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "NystromformerConfig"],
}

if is_torch_available():
    _import_structure["modeling_nystromformer"] = [
        "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "NystromformerForMaskedLM",
        "NystromformerForMultipleChoice",
        "NystromformerForQuestionAnswering",
        "NystromformerForSequenceClassification",
        "NystromformerForTokenClassification",
        "NystromformerLayer",
        "NystromformerModel",
        "NystromformerPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

if is_torch_available():
        from .modeling_nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )

else:
    import sys

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

# 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_nystromformer": ["NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "NystromformerConfig"], } if is_torch_available(): _import_structure["modeling_nystromformer"] = [ "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST", "NystromformerForMaskedLM", "NystromformerForMultipleChoice", "NystromformerForQuestionAnswering", "NystromformerForSequenceClassification", "NystromformerForTokenClassification", "NystromformerLayer", "NystromformerModel", "NystromformerPreTrainedModel", ] if TYPE_CHECKING: from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig if is_torch_available(): from .modeling_nystromformer import ( NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST, NystromformerForMaskedLM, NystromformerForMultipleChoice, NystromformerForQuestionAnswering, NystromformerForSequenceClassification, NystromformerForTokenClassification, NystromformerLayer, NystromformerModel, NystromformerPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)