FM / unispeech

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_unispeech.py	16870	0644	edit dl rm
convert_unispeech_original_pytorch_checkpoint_to_pytorch.py	11249	0644	edit dl rm
modeling_unispeech.py	71211	0644	edit dl rm
__init__.py	1891	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/unispeech/__init__.py (1891B)

# 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_tf_available, is_torch_available

_import_structure = {
    "configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechConfig"],
}

if is_torch_available():
    _import_structure["modeling_unispeech"] = [
        "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST",
        "UniSpeechForCTC",
        "UniSpeechForPreTraining",
        "UniSpeechForSequenceClassification",
        "UniSpeechModel",
        "UniSpeechPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

if is_torch_available():
        from .modeling_unispeech import (
            UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
            UniSpeechForCTC,
            UniSpeechForPreTraining,
            UniSpeechForSequenceClassification,
            UniSpeechModel,
            UniSpeechPreTrainedModel,
        )

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_tf_available, is_torch_available _import_structure = { "configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechConfig"], } if is_torch_available(): _import_structure["modeling_unispeech"] = [ "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST", "UniSpeechForCTC", "UniSpeechForPreTraining", "UniSpeechForSequenceClassification", "UniSpeechModel", "UniSpeechPreTrainedModel", ] if TYPE_CHECKING: from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig if is_torch_available(): from .modeling_unispeech import ( UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST, UniSpeechForCTC, UniSpeechForPreTraining, UniSpeechForSequenceClassification, UniSpeechModel, UniSpeechPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)