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mila-intel
/
protst-esm1b-for-sequential-classification

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

Instructions to use mila-intel/protst-esm1b-for-sequential-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mila-intel/protst-esm1b-for-sequential-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mila-intel/protst-esm1b-for-sequential-classification", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mila-intel/protst-esm1b-for-sequential-classification", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
protst-esm1b-for-sequential-classification
2.61 GB
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  • 1 contributor
History: 24 commits
Jiqing's picture
Jiqing
Update README.md
2eac302 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    8.26 kB
    Update README.md about 2 years ago
  • config.json
    1.13 kB
    Upload ProtSTForProteinPropertyPrediction over 2 years ago
  • configuration_protst.py
    1.42 kB
    Create configuration_protst.py over 2 years ago
  • model.safetensors
    2.61 GB
    xet
    Upload ProtSTForProteinPropertyPrediction over 2 years ago
  • modeling_protst.py
    7.76 kB
    Update modeling_protst.py over 2 years ago