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yairschiff
/
caduceus_base

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

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

  • Libraries
  • Transformers

    How to use yairschiff/caduceus_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yairschiff/caduceus_base", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yairschiff/caduceus_base", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
caduceus_base
2.22 MB
Ctrl+K
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  • 1 contributor
History: 15 commits
yairschiff's picture
yairschiff
Ensure weights are tied for BiMamba (if applicable) when loaded from_pretrained
ea3d363 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    1.44 kB
    Upload Caduceus about 2 years ago
  • configuration_caduceus.py
    1.96 kB
    Upload Caduceus about 2 years ago
  • model.safetensors
    2.17 MB
    xet
    Upload Caduceus about 2 years ago
  • modeling_caduceus.py
    28.6 kB
    Ensure weights are tied for BiMamba (if applicable) when loaded from_pretrained over 1 year ago
  • modeling_rcps.py
    9.98 kB
    Enable mambav2 compat over 1 year ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer about 2 years ago
  • tokenization_caduceus.py
    4.96 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.48 kB
    Upload tokenizer about 2 years ago