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bezzam
/
xcodec-hubert-librispeech

Feature Extraction
Transformers
Safetensors
xcodec
Model card Files Files and versions
xet
Community

Instructions to use bezzam/xcodec-hubert-librispeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bezzam/xcodec-hubert-librispeech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="bezzam/xcodec-hubert-librispeech")
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModel
    
    extractor = AutoFeatureExtractor.from_pretrained("bezzam/xcodec-hubert-librispeech")
    model = AutoModel.from_pretrained("bezzam/xcodec-hubert-librispeech")
  • Notebooks
  • Google Colab
  • Kaggle
xcodec-hubert-librispeech
710 MB
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  • 1 contributor
History: 3 commits
bezzam's picture
bezzam HF Staff
Upload model
ead4046 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload feature extractor 9 months ago
  • config.json
    2.72 kB
    Upload model 9 months ago
  • model.safetensors
    710 MB
    xet
    Upload model 9 months ago
  • preprocessor_config.json
    206 Bytes
    Upload feature extractor 9 months ago