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westlake-repl
/
SaProt_650M_AF2

Fill-Mask
Transformers
PyTorch
esm
Model card Files Files and versions
xet
Community
5

Instructions to use westlake-repl/SaProt_650M_AF2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use westlake-repl/SaProt_650M_AF2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="westlake-repl/SaProt_650M_AF2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("westlake-repl/SaProt_650M_AF2")
    model = AutoModelForMaskedLM.from_pretrained("westlake-repl/SaProt_650M_AF2")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
SaProt_650M_AF2
5.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
LTEnjoy's picture
LTEnjoy
Update README.md
d9b9ad0 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.93 kB
    Update README.md over 1 year ago
  • SaProt_650M_AF2.pt
    2.61 GB
    xet
    Upload 6 files over 2 years ago
  • config.json
    647 Bytes
    Upload 6 files over 2 years ago
  • pytorch_model.bin
    2.61 GB
    xet
    Upload 6 files over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files over 2 years ago
  • tokenizer_config.json
    40 Bytes
    Upload 6 files over 2 years ago
  • vocab.txt
    1.35 kB
    Upload 6 files over 2 years ago