Instructions to use patrickvonplaten/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2-base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2-base") model = AutoModelForPreTraining.from_pretrained("patrickvonplaten/wav2vec2-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83396c837573d39aefb12b32340dfc7fdb97958fa077079ab76b23d46b74618e
- Size of remote file:
- 380 MB
- SHA256:
- 633c2ee4c423ac3739d23d17482de724901894283bdfa7dbe477db429d6655b7
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