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AI4Protein
/
deep_bpe_400

Feature Extraction
Transformers
PyTorch
roformer
fill-mask
Model card Files Files and versions
xet
Community
3

Instructions to use AI4Protein/deep_bpe_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AI4Protein/deep_bpe_400 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_400")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_400")
    model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_400")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened 11 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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