Instructions to use facebook/encodec_32khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/encodec_32khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/encodec_32khz")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("facebook/encodec_32khz") model = AutoModel.from_pretrained("facebook/encodec_32khz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b3c6f0760430e1b3ca621567d87bd6caa3fc06db78d48e4910305f517db6f02
- Size of remote file:
- 236 MB
- SHA256:
- e67175a1bedb126fc0871e4f7b3a29a2fc1711e8ad80c258a160910b6748b711
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