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GleghornLab
/
production_ss9_model

Token Classification
Transformers
Safetensors
ESMplusplus
custom_code
Model card Files Files and versions
xet
Community

Instructions to use GleghornLab/production_ss9_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GleghornLab/production_ss9_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="GleghornLab/production_ss9_model", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForTokenClassification
    model = AutoModelForTokenClassification.from_pretrained("GleghornLab/production_ss9_model", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
production_ss9_model
2.39 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
lhallee's picture
lhallee
Upload README.md with huggingface_hub
1fd3ad3 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • LICENSE
    2.18 kB
    Upload LICENSE with huggingface_hub 11 months ago
  • README.md
    28.2 kB
    Upload README.md with huggingface_hub 7 months ago
  • config.json
    1.28 kB
    Upload ESMplusplusForTokenClassification 12 months ago
  • model.safetensors
    2.39 GB
    xet
    Upload ESMplusplusForTokenClassification 12 months ago