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doc: add info about wav2vec2 bert in older wav2vec2 models. #31120

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Jun 5, 2024
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doc: add info about wav2vec2 bert in older wav2vec2 models. #31120

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doc: add info about wav2vec2 bert in older wav2vec2 models.
Vaibhavs10 May 29, 2024
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Vaibhavs10 Jun 3, 2024
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sanchit-gandhi Jun 3, 2024
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2 changes: 2 additions & 0 deletions docs/source/en/model_doc/wav2vec2-conformer.md
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Expand Up @@ -27,6 +27,8 @@ The Wav2Vec2-Conformer weights were released by the Meta AI team within the [Fai
This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten).
The original code can be found [here](https://github.com/pytorch/fairseq/tree/main/examples/wav2vec).

Note: Meta (FAIR) released a new version of [Wav2Vec2-BERT 2.0](https://huggingface.co/docs/transformers/en/model_doc/wav2vec2-bert) - it's pretrained on 4.5M hours of audio. We specially recommend using it for fine-tuning tasks.
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## Usage tips

- Wav2Vec2-Conformer follows the same architecture as Wav2Vec2, but replaces the *Attention*-block with a *Conformer*-block
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2 changes: 2 additions & 0 deletions docs/source/en/model_doc/wav2vec2.md
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Expand Up @@ -33,6 +33,8 @@ recognition with limited amounts of labeled data.*

This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten).

Note: Meta (FAIR) released a new version of [Wav2Vec2-BERT 2.0](https://huggingface.co/docs/transformers/en/model_doc/wav2vec2-bert) - it's pretrained on 4.5M hours of audio. We specially recommend using it for fine-tuning tasks.

## Usage tips

- Wav2Vec2 is a speech model that accepts a float array corresponding to the raw waveform of the speech signal.
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2 changes: 2 additions & 0 deletions docs/source/en/model_doc/xlsr_wav2vec2.md
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Expand Up @@ -36,6 +36,8 @@ XLSR-53, a large model pretrained in 53 languages.*

The original code can be found [here](https://github.com/pytorch/fairseq/tree/master/fairseq/models/wav2vec).

Note: Meta (FAIR) released a new version of [Wav2Vec2-BERT 2.0](https://huggingface.co/docs/transformers/en/model_doc/wav2vec2-bert) - it's pretrained on 4.5M hours of audio. We specially recommend using it for fine-tuning tasks.

## Usage tips

- XLSR-Wav2Vec2 is a speech model that accepts a float array corresponding to the raw waveform of the speech signal.
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