Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

facebook
/
hubert-base-ls960

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

Instructions to use facebook/hubert-base-ls960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/hubert-base-ls960 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="facebook/hubert-base-ls960")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("facebook/hubert-base-ls960")
    model = AutoModel.from_pretrained("facebook/hubert-base-ls960")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-base-ls960
755 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
patrickvonplaten's picture
patrickvonplaten
Update README.md
dba3bb0 over 4 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    2.6 kB
    Update README.md over 4 years ago
  • config.json
    1.39 kB
    Update config.json over 4 years ago
  • preprocessor_config.json
    213 Bytes
    add preprocessing file almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    upload model almost 5 years ago
  • tf_model.h5
    378 MB
    xet
    add model over 4 years ago