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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1bec7411ddaaaa415aa62b97df4194e4f06ffe731f5cae0fd8ce74c99f5c1ab
- Size of remote file:
- 93.1 MB
- SHA256:
- 37a7cb100f71a29e6c1d815aca8666a1d7ea8885ebe44c306c751a5103559d57
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