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# 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 ...file_utils import _LazyModule, is_tf_available, is_torch_available
_import_structure = {
"configuration_hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
}
if is_torch_available():
_import_structure["modeling_hubert"] = [
"HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
"HubertForCTC",
"HubertModel",
"HubertPreTrainedModel",
]
if is_tf_available():
_import_structure["modeling_tf_hubert"] = [
"TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
"TFHubertForCTC",
"TFHubertModel",
"TFHubertPreTrainedModel",
]
if TYPE_CHECKING:
from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
if is_torch_available():
from .modeling_hubert import (
HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
HubertForCTC,
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)
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