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6 changes: 6 additions & 0 deletions README.md
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Expand Up @@ -58,6 +58,12 @@ cd <example-folder>
pip install -r requirements.txt
```

> To use the example associated with the latest stable release, run:
> ```
> git checkout v1.10.1
> ```
> with `v1.10.1` the version number of this release.


## How to use it?

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1 change: 1 addition & 0 deletions examples/audio-classification/README.md
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Expand Up @@ -20,6 +20,7 @@ The following examples showcase how to fine-tune `Wav2Vec2` for audio classifica

Speech recognition models that have been pretrained in an unsupervised fashion on audio data alone, *e.g.* [Wav2Vec2](https://huggingface.co/transformers/main/model_doc/wav2vec2.html), have shown to require only very little annotated data to yield good performance on speech classification datasets.


## Single-HPU

The following command shows how to fine-tune [wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the 🗣️ [Keyword Spotting subset](https://huggingface.co/datasets/superb#ks) of the SUPERB dataset on a single HPU.
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