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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
prot_xlnet
1.64 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
pavm595's picture
pavm595
Update config.json
7c8e7d5 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.71 kB
    Update README.md 7 months ago
  • config.json
    1.37 kB
    Update config.json 6 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.64 GB
    xet
    Upload 3 files 7 months ago
  • spiece.model
    238 kB
    xet
    Upload 3 files 7 months ago