Instructions to use facebook/encodec_24khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/encodec_24khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/encodec_24khz")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("facebook/encodec_24khz") model = AutoModel.from_pretrained("facebook/encodec_24khz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79be874e93209fd63ae5843816e7db73307c725cbf5bf9dd35fa7b724674468c
- Size of remote file:
- 93.2 MB
- SHA256:
- 723be8b6cb82e6c4ca60e315e71d1be1c1355fc027dadae352628341d5f0e1f1
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