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aayushiii18
/
riskloop-representative-checkpoints

Text Classification
Transformers
PyTorch
legal
bert
legal-bert
contract-risk
cuad
Model card Files Files and versions
xet
Community

Instructions to use aayushiii18/riskloop-representative-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aayushiii18/riskloop-representative-checkpoints with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aayushiii18/riskloop-representative-checkpoints")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("aayushiii18/riskloop-representative-checkpoints", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
riskloop-representative-checkpoints
5.04 kB
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  • 1 contributor
History: 2 commits
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aayushiii18
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