Instructions to use facebook/encodec_48khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/encodec_48khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/encodec_48khz")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("facebook/encodec_48khz") model = AutoModel.from_pretrained("facebook/encodec_48khz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from facebook/encodec_48khz: direct link, hf CLI and curl.
- Browser
- Download file 76.3 MB
-
https://huggingface.co/facebook/encodec_48khz/resolve/main/model.safetensors
- Command line
-
hf download hf://facebook/encodec_48khz/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/facebook/encodec_48khz/resolve/main/model.safetensors
76.3 MB
- Xet hash:
- 0c2bacbe41b083f044c72c4f97a690b8c81fdc134ed22ed87dc3190519512104
- Size of remote file:
- 76.3 MB
- SHA256:
- 47a15ffbaf7bb76176d0833e10590de0a8988a7848748608cefc36a1c88adfdc
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