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Updates the default branch from master to main (#16326)

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* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Lysandre Debut
2022-03-23 08:46:59 +01:00
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examples/pytorch/audio-classification/README.md
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@@ -19,9 +19,9 @@ limitations under the License.
The following examples showcase how to fine-tune `Wav2Vec2` for audio classification using PyTorch.
Speech recognition models that have been pretrained in unsupervised fashion on audio data alone,
*e.g.* [Wav2Vec2](https://huggingface.co/transformers/master/model_doc/wav2vec2.html),
[HuBERT](https://huggingface.co/transformers/master/model_doc/hubert.html),
[XLSR-Wav2Vec2](https://huggingface.co/transformers/master/model_doc/xlsr_wav2vec2.html), have shown to require only
*e.g.* [Wav2Vec2](https://huggingface.co/transformers/main/model_doc/wav2vec2.html),
[HuBERT](https://huggingface.co/transformers/main/model_doc/hubert.html),
[XLSR-Wav2Vec2](https://huggingface.co/transformers/main/model_doc/xlsr_wav2vec2.html), have shown to require only
very little annotated data to yield good performance on speech classification datasets.
## Single-GPU