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facebook
/
encodec_32khz

Feature Extraction
Transformers
PyTorch
Safetensors
encodec
Model card Files Files and versions
xet
Community
2

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
encodec_32khz
472 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
sanchit-gandhi's picture
sanchit-gandhi
Update README.md
d0c4538 over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    5.59 kB
    Update README.md over 2 years ago
  • config.json
    758 Bytes
    Correct weights and config for skip conv almost 3 years ago
  • model.safetensors
    236 MB
    xet
    Correct weights and config for skip conv almost 3 years ago
  • preprocessor_config.json
    234 Bytes
    Add weights and config almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    236 MB
    xet
    Correct weights and config for skip conv almost 3 years ago