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* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates
41 lines
1.7 KiB
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41 lines
1.7 KiB
Plaintext
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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-->
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# Speech Encoder Decoder Models
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The [`SpeechEncoderDecoderModel`] can be used to initialize a speech-sequence-to-text-sequence model
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with any pretrained speech autoencoding model as the encoder (*e.g.* [Wav2Vec2](wav2vec2), [Hubert](hubert)) and any pretrained autoregressive model as the decoder.
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The effectiveness of initializing speech-sequence-to-text-sequence models with pretrained checkpoints for speech
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recognition and speech translation has *e.g.* been shown in [Large-Scale Self- and Semi-Supervised Learning for Speech
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Translation](https://arxiv.org/abs/2104.06678) by Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli,
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Alexis Conneau.
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An example of how to use a [`SpeechEncoderDecoderModel`] for inference can be seen in
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[Speech2Text2](speech_to_text_2).
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## SpeechEncoderDecoderConfig
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[[autodoc]] SpeechEncoderDecoderConfig
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## SpeechEncoderDecoderModel
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[[autodoc]] SpeechEncoderDecoderModel
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- forward
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- from_encoder_decoder_pretrained
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## FlaxSpeechEncoderDecoderModel
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[[autodoc]] FlaxSpeechEncoderDecoderModel
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- __call__
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- from_encoder_decoder_pretrained |