FM / pegasus

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_pegasus.py	7870	0644	edit dl rm
convert_pegasus_tf_to_pytorch.py	5362	0644	edit dl rm
modeling_flax_pegasus.py	65526	0644	edit dl rm
modeling_pegasus.py	81002	0644	edit dl rm
modeling_tf_pegasus.py	65664	0644	edit dl rm
tokenization_pegasus.py	13200	0644	edit dl rm
tokenization_pegasus_fast.py	9795	0644	edit dl rm
__init__.py	3013	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/pegasus/__init__.py (3013B)

# 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 2020 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_pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_pegasus"] = ["PegasusTokenizer"]

if is_tokenizers_available():
    _import_structure["tokenization_pegasus_fast"] = ["PegasusTokenizerFast"]

if is_torch_available():
    _import_structure["modeling_pegasus"] = [
        "PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
        "PegasusForCausalLM",
        "PegasusForConditionalGeneration",
        "PegasusModel",
        "PegasusPreTrainedModel",
    ]

if is_tf_available():
    _import_structure["modeling_tf_pegasus"] = [
        "TFPegasusForConditionalGeneration",
        "TFPegasusModel",
        "TFPegasusPreTrainedModel",
    ]

if is_flax_available():
    _import_structure["modeling_flax_pegasus"] = [
        "FlaxPegasusForConditionalGeneration",
        "FlaxPegasusModel",
        "FlaxPegasusPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

if is_sentencepiece_available():
        from .tokenization_pegasus import PegasusTokenizer

if is_tokenizers_available():
        from .tokenization_pegasus_fast import PegasusTokenizerFast

if is_torch_available():
        from .modeling_pegasus import (
            PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )

if is_tf_available():
        from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

if is_flax_available():
        from .modeling_flax_pegasus import (
            FlaxPegasusForConditionalGeneration,
            FlaxPegasusModel,
            FlaxPegasusPreTrainedModel,
        )

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 2020 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_pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig"], } if is_sentencepiece_available(): _import_structure["tokenization_pegasus"] = ["PegasusTokenizer"] if is_tokenizers_available(): _import_structure["tokenization_pegasus_fast"] = ["PegasusTokenizerFast"] if is_torch_available(): _import_structure["modeling_pegasus"] = [ "PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST", "PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel", ] if is_tf_available(): _import_structure["modeling_tf_pegasus"] = [ "TFPegasusForConditionalGeneration", "TFPegasusModel", "TFPegasusPreTrainedModel", ] if is_flax_available(): _import_structure["modeling_flax_pegasus"] = [ "FlaxPegasusForConditionalGeneration", "FlaxPegasusModel", "FlaxPegasusPreTrainedModel", ] if TYPE_CHECKING: from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig if is_sentencepiece_available(): from .tokenization_pegasus import PegasusTokenizer if is_tokenizers_available(): from .tokenization_pegasus_fast import PegasusTokenizerFast if is_torch_available(): from .modeling_pegasus import ( PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST, PegasusForCausalLM, PegasusForConditionalGeneration, PegasusModel, PegasusPreTrainedModel, ) if is_tf_available(): from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel if is_flax_available(): from .modeling_flax_pegasus import ( FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)