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virtual-human-chc
/
prot_xlnet

Feature Extraction
Transformers
PyTorch
English
xlnet
protein-language-model
plm
Model card Files Files and versions
xet
Community
3

Instructions to use virtual-human-chc/prot_xlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use virtual-human-chc/prot_xlnet with Transformers:

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

Adding `safetensors` variant of this model

#3 opened 6 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened 6 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 7 months ago by
SFconvertbot
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