# Copyright 2022 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 OptionalDependencyNotAvailable, _LazyModule, is_torch_available _import_structure = { "configuration_wav2vec2_conformer": [ "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "Wav2Vec2ConformerConfig", ], } try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_wav2vec2_conformer"] = [ "WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST", "Wav2Vec2ConformerForAudioFrameClassification", "Wav2Vec2ConformerForCTC", "Wav2Vec2ConformerForPreTraining", "Wav2Vec2ConformerForSequenceClassification", "Wav2Vec2ConformerForXVector", "Wav2Vec2ConformerModel", "Wav2Vec2ConformerPreTrainedModel", ] if TYPE_CHECKING: from .configuration_wav2vec2_conformer import ( WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Wav2Vec2ConformerConfig, ) try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_wav2vec2_conformer import ( WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST, Wav2Vec2ConformerForAudioFrameClassification, Wav2Vec2ConformerForCTC, Wav2Vec2ConformerForPreTraining, Wav2Vec2ConformerForSequenceClassification, Wav2Vec2ConformerForXVector, Wav2Vec2ConformerModel, Wav2Vec2ConformerPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)