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SaeedLab
/
SeqScreen-Finetuning

Feature Extraction
Transformers
Safetensors
seqscreen
proteins
molecules
bioinformatics
drug-discovery
custom_code
Model card Files Files and versions
xet
Community

Instructions to use SaeedLab/SeqScreen-Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SaeedLab/SeqScreen-Finetuning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SaeedLab/SeqScreen-Finetuning", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SaeedLab/SeqScreen-Finetuning", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SeqScreen-Finetuning
9.08 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
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  • .gitattributes
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  • README.md
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  • config.json
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  • configuration_seqscreen.py
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  • model.safetensors
    8.93 MB
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  • modeling_seqscreen.py
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  • pipeline.png
    143 kB
    xet
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