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williamTLmiller
/
millerbind-open-v1

Tabular Regression
Scikit-learn
Joblib
English
protein-ligand
binding-affinity
drug-discovery
chemistry
cheminformatics
computational-biology
bioinformatics
structural-biology
molecular-biology
structure-based-drug-design
pkd-prediction
rcsb-pdb
bindingdb
extra-trees
reproducible-research
open-source
harmonic-features
millerbind
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use williamTLmiller/millerbind-open-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use williamTLmiller/millerbind-open-v1 with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("williamTLmiller/millerbind-open-v1", "sklearn_model.joblib")
    )
    # only load pickle files from sources you trust
    # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Built for drug discovery, but I think the architecture can cut LLM hallucination — feedback wanted from AI/agent builders

#1 opened 2 days ago by
williamTLmiller
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