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Removed issue in wav2vec link (#18945) 

Fix connected to [this issue](https://github.com/huggingface/transformers/issues/18944)
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Chris Emezue 2022-09-12 15:59:19 -04:00 committed by GitHub
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docs/source/en/tasks/audio_classification.mdx
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@ -117,7 +117,7 @@ The [MInDS-14](https://huggingface.co/datasets/PolyAI/minds14) dataset has a sam
The preprocessing function needs to:
1. Call the `audio` column to load and if necessary resample the audio file.
2. Check the sampling rate of the audio file matches the sampling rate of the audio data a model was pretrained with. You can find this information on the Wav2Vec2 [model card]((https://huggingface.co/facebook/wav2vec2-base)).
2. Check the sampling rate of the audio file matches the sampling rate of the audio data a model was pretrained with. You can find this information on the Wav2Vec2 [model card](https://huggingface.co/facebook/wav2vec2-base).
3. Set a maximum input length so longer inputs are batched without being truncated.
```py
@ -189,4 +189,4 @@ At this point, only three steps remain:
For a more in-depth example of how to fine-tune a model for audio classification, take a look at the corresponding [PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/audio_classification.ipynb).
</Tip>
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