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facebook
/
hubert-large-ll60k

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
English
hubert
speech
Model card Files Files and versions
xet
Community
3

Instructions to use facebook/hubert-large-ll60k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/hubert-large-ll60k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="facebook/hubert-large-ll60k")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("facebook/hubert-large-ll60k")
    model = AutoModel.from_pretrained("facebook/hubert-large-ll60k")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
hubert-large-ll60k
2.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
Update README.md
ff022d0 over 4 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    2.69 kB
    Update README.md over 4 years ago
  • config.json
    1.6 kB
    Update config.json over 4 years ago
  • preprocessor_config.json
    212 Bytes
    add feature extractor file almost 5 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    add hubert large almost 5 years ago
  • tf_model.h5
    1.26 GB
    xet
    add model over 4 years ago