Instructions to use facebook/wav2vec2-xls-r-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-xls-r-300m with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-xls-r-300m") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-xls-r-300m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8478e486f0a6ba5bef621285f30c3a4e70e0c49960976bcc5d123a69e9fa00e2
- Size of remote file:
- 1.27 GB
- SHA256:
- d5e490574712ad0a6736923b9ed11d4cd51c78609c36205f704fc4e87b11d2e0
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