FM / hubert

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_hubert.py	14576	0644	edit dl rm
convert_distilhubert_original_s3prl_checkpoint_to_pytorch.py	8851	0644	edit dl rm
convert_hubert_original_pytorch_checkpoint_to_pytorch.py	10289	0644	edit dl rm
convert_hubert_original_s3prl_checkpoint_to_pytorch.py	2895	0644	edit dl rm
modeling_hubert.py	57291	0644	edit dl rm
modeling_tf_hubert.py	70779	0644	edit dl rm
__init__.py	2341	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/hubert/__init__.py (2341B)

# 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_tf_available, is_torch_available

_import_structure = {
    ".wav2vec2.feature_extraction_wav2vec2": ["Wav2Vec2FeatureExtractor"],
    "configuration_hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
}

if is_torch_available():
    _import_structure["modeling_hubert"] = [
        "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "HubertForCTC",
        "HubertForSequenceClassification",
        "HubertModel",
        "HubertPreTrainedModel",
    ]

if is_tf_available():
    _import_structure["modeling_tf_hubert"] = [
        "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFHubertForCTC",
        "TFHubertModel",
        "TFHubertPreTrainedModel",
    ]

if TYPE_CHECKING:
    from ..wav2vec2.feature_extraction_wav2vec2 import Wav2Vec2FeatureExtractor
    from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

if is_torch_available():
        from .modeling_hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
            HubertForSequenceClassification,
            HubertModel,
            HubertPreTrainedModel,
        )

if is_tf_available():
        from .modeling_tf_hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )

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_tf_available, is_torch_available _import_structure = { ".wav2vec2.feature_extraction_wav2vec2": ["Wav2Vec2FeatureExtractor"], "configuration_hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"], } if is_torch_available(): _import_structure["modeling_hubert"] = [ "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "HubertForCTC", "HubertForSequenceClassification", "HubertModel", "HubertPreTrainedModel", ] if is_tf_available(): _import_structure["modeling_tf_hubert"] = [ "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "TFHubertForCTC", "TFHubertModel", "TFHubertPreTrainedModel", ] if TYPE_CHECKING: from ..wav2vec2.feature_extraction_wav2vec2 import Wav2Vec2FeatureExtractor from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig if is_torch_available(): from .modeling_hubert import ( HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST, HubertForCTC, HubertForSequenceClassification, HubertModel, HubertPreTrainedModel, ) if is_tf_available(): from .modeling_tf_hubert import ( TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST, TFHubertForCTC, TFHubertModel, TFHubertPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)