FM / big

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_big_bird.py	7686	0644	edit dl rm
convert_bigbird_original_tf_checkpoint_to_pytorch.py	2466	0644	edit dl rm
modeling_big_bird.py	137992	0644	edit dl rm
modeling_flax_big_bird.py	88284	0644	edit dl rm
tokenization_big_bird.py	12315	0644	edit dl rm
tokenization_big_bird_fast.py	11245	0644	edit dl rm
__init__.py	3607	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/big_bird/__init__.py (3607B)

# 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 2021 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

from ...utils import (
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)

_import_structure = {
    "configuration_big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_big_bird"] = ["BigBirdTokenizer"]

if is_tokenizers_available():
    _import_structure["tokenization_big_bird_fast"] = ["BigBirdTokenizerFast"]

if is_torch_available():
    _import_structure["modeling_big_bird"] = [
        "BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST",
        "BigBirdForCausalLM",
        "BigBirdForMaskedLM",
        "BigBirdForMultipleChoice",
        "BigBirdForPreTraining",
        "BigBirdForQuestionAnswering",
        "BigBirdForSequenceClassification",
        "BigBirdForTokenClassification",
        "BigBirdLayer",
        "BigBirdModel",
        "BigBirdPreTrainedModel",
        "load_tf_weights_in_big_bird",
    ]

if is_flax_available():
    _import_structure["modeling_flax_big_bird"] = [
        "FlaxBigBirdForMaskedLM",
        "FlaxBigBirdForMultipleChoice",
        "FlaxBigBirdForPreTraining",
        "FlaxBigBirdForQuestionAnswering",
        "FlaxBigBirdForSequenceClassification",
        "FlaxBigBirdForTokenClassification",
        "FlaxBigBirdModel",
        "FlaxBigBirdPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig

if is_sentencepiece_available():
        from .tokenization_big_bird import BigBirdTokenizer

if is_tokenizers_available():
        from .tokenization_big_bird_fast import BigBirdTokenizerFast

if is_torch_available():
        from .modeling_big_bird import (
            BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdForCausalLM,
            BigBirdForMaskedLM,
            BigBirdForMultipleChoice,
            BigBirdForPreTraining,
            BigBirdForQuestionAnswering,
            BigBirdForSequenceClassification,
            BigBirdForTokenClassification,
            BigBirdLayer,
            BigBirdModel,
            BigBirdPreTrainedModel,
            load_tf_weights_in_big_bird,
        )

if is_flax_available():
        from .modeling_flax_big_bird import (
            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )

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 2021 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 from ...utils import ( _LazyModule, is_flax_available, is_sentencepiece_available, is_tf_available, is_tokenizers_available, is_torch_available, ) _import_structure = { "configuration_big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"], } if is_sentencepiece_available(): _import_structure["tokenization_big_bird"] = ["BigBirdTokenizer"] if is_tokenizers_available(): _import_structure["tokenization_big_bird_fast"] = ["BigBirdTokenizerFast"] if is_torch_available(): _import_structure["modeling_big_bird"] = [ "BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST", "BigBirdForCausalLM", "BigBirdForMaskedLM", "BigBirdForMultipleChoice", "BigBirdForPreTraining", "BigBirdForQuestionAnswering", "BigBirdForSequenceClassification", "BigBirdForTokenClassification", "BigBirdLayer", "BigBirdModel", "BigBirdPreTrainedModel", "load_tf_weights_in_big_bird", ] if is_flax_available(): _import_structure["modeling_flax_big_bird"] = [ "FlaxBigBirdForMaskedLM", "FlaxBigBirdForMultipleChoice", "FlaxBigBirdForPreTraining", "FlaxBigBirdForQuestionAnswering", "FlaxBigBirdForSequenceClassification", "FlaxBigBirdForTokenClassification", "FlaxBigBirdModel", "FlaxBigBirdPreTrainedModel", ] if TYPE_CHECKING: from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig if is_sentencepiece_available(): from .tokenization_big_bird import BigBirdTokenizer if is_tokenizers_available(): from .tokenization_big_bird_fast import BigBirdTokenizerFast if is_torch_available(): from .modeling_big_bird import ( BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST, BigBirdForCausalLM, BigBirdForMaskedLM, BigBirdForMultipleChoice, BigBirdForPreTraining, BigBirdForQuestionAnswering, BigBirdForSequenceClassification, BigBirdForTokenClassification, BigBirdLayer, BigBirdModel, BigBirdPreTrainedModel, load_tf_weights_in_big_bird, ) if is_flax_available(): from .modeling_flax_big_bird import ( FlaxBigBirdForMaskedLM, FlaxBigBirdForMultipleChoice, FlaxBigBirdForPreTraining, FlaxBigBirdForQuestionAnswering, FlaxBigBirdForSequenceClassification, FlaxBigBirdForTokenClassification, FlaxBigBirdModel, FlaxBigBirdPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)