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mila-intel
/
ProtST-esm1b

Feature Extraction
Transformers
PyTorch
protst
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use mila-intel/ProtST-esm1b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mila-intel/ProtST-esm1b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mila-intel/ProtST-esm1b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ProtST-esm1b
3.07 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 25 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
7c1b794 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    7.6 kB
    Update README.md about 2 years ago
  • config.json
    1.63 kB
    Update config.json over 2 years ago
  • configuration_protst.py
    1.9 kB
    Update configuration_protst.py over 2 years ago
  • model.safetensors
    1.53 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • modeling_protst.py
    10.3 kB
    Update modeling_protst.py over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.BFloat16Storage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.53 GB
    xet
    Upload model over 2 years ago