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juliagsy
/
muvis

Feature Extraction
Transformers
Safetensors
muvis
custom_code
Model card Files Files and versions
xet
Community

Instructions to use juliagsy/muvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use juliagsy/muvis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="juliagsy/muvis", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("juliagsy/muvis", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
muvis
691 MB
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  • 1 contributor
History: 4 commits
juliagsy's picture
juliagsy
Update config.json
0d1c1b4 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    306 Bytes
    Update config.json over 2 years ago
  • model.safetensors
    691 MB
    xet
    Upload model over 2 years ago
  • modeling.py
    2.19 kB
    Create modeling.py over 2 years ago