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JustinDuc
/
saute

Fill-Mask
Transformers
Safetensors
PyTorch
English
saute
feature-extraction
masked-language-modeling
dialogue
speaker-aware
transformer
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use JustinDuc/saute with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="JustinDuc/saute", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("JustinDuc/saute", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
saute
1.41 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
JustinDuc's picture
JustinDuc
Update README.md
be51023 verified about 1 year ago
  • last-checkpoint
    Training in progress, step 10000, checkpoint about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.03 kB
    Update README.md about 1 year ago
  • __init__.py
    0 Bytes
    Create __init__.py about 1 year ago
  • config.json
    684 Bytes
    Update config.json about 1 year ago
  • model.py
    5.83 kB
    Update model.py about 1 year ago
  • model.safetensors
    605 MB
    xet
    Upload UtteranceEmbedings about 1 year ago
  • saute_config.py
    1.51 kB
    Upload saute_config.py about 1 year ago
  • saute_model.py
    7.87 kB
    Update saute_model.py about 1 year ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, step 5000 about 1 year ago