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microsoft
/
wavlm-large

Feature Extraction
Transformers
PyTorch
English
wavlm
speech
Model card Files Files and versions
xet
Community
8

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

  • Libraries
  • Transformers

    How to use microsoft/wavlm-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="microsoft/wavlm-large")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("microsoft/wavlm-large")
    model = AutoModel.from_pretrained("microsoft/wavlm-large")
  • Notebooks
  • Google Colab
  • Kaggle
wavlm-large
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
Update README.md
c1423ed over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.89 kB
    Update README.md over 4 years ago
  • config.json
    2.22 kB
    correct over 4 years ago
  • preprocessor_config.json
    214 Bytes
    upload model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
    correct over 4 years ago