Instructions to use facebook/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbb392fbf9082ad779fee308f5447f008ce02330dc49e48ba00b0f4e01b3d242
- Size of remote file:
- 380 MB
- SHA256:
- 3249fe98bfc62fcbc26067f724716a6ec49d12c4728a2af1df659013905dff21
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