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recursionpharma
/
OpenPhenom

Feature Extraction
Transformers
Safetensors
MAE
custom_code
Model card Files Files and versions
xet
Community
23

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

  • Libraries
  • Transformers

    How to use recursionpharma/OpenPhenom with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="recursionpharma/OpenPhenom", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("recursionpharma/OpenPhenom", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
OpenPhenom
Ctrl+K
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  • 4 contributors
History: 6 commits
kiankaydee's picture
kiankaydee
upload the version of phenom-beta that was actually trained on JUMP+RxRx3
a97999b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload model over 1 year ago
  • config.json
    1.89 kB
    upload the version of phenom-beta that was actually trained on JUMP+RxRx3 over 1 year ago
  • model.safetensors
    712 MB
    xet
    upload the version of phenom-beta that was actually trained on JUMP+RxRx3 over 1 year ago