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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
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  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#5 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot
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