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nihal4
/
prompt_injection_model

Text Classification
Transformers
ONNX
prompt-injection
prompt-injection-detection
llm-security
bert
jailbreak-detection
Model card Files Files and versions
xet
Community

Instructions to use nihal4/prompt_injection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nihal4/prompt_injection_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nihal4/prompt_injection_model")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nihal4/prompt_injection_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
prompt_injection_model
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
nihal4's picture
nihal4
Update README.md
ff1d4b3 verified 7 days ago
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  • prompt_injection_model.onnx.data
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  • tokenizer.json
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  • tokenizer_config.json
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