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qualifire
/
prompt-injection-sentinel

Text Classification
Transformers
Safetensors
English
modernbert
prompt-injection
jailbreak-detection
moderation
security
guard
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use qualifire/prompt-injection-sentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qualifire/prompt-injection-sentinel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="qualifire/prompt-injection-sentinel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("qualifire/prompt-injection-sentinel")
    model = AutoModelForSequenceClassification.from_pretrained("qualifire/prompt-injection-sentinel", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.57 kB
    added the license about 1 year ago
  • LICENSE.md
    3.86 kB
    added the license about 1 year ago
  • README.md
    4.41 kB
    Update README.md 11 months ago
  • config.json
    1.43 kB
    Duplicated model from jailbreak-benign to prompt-injection about 1 year ago
  • model.safetensors
    1.58 GB
    xet
    Duplicated model from jailbreak-benign to prompt-injection about 1 year ago
  • sentinel.png
    376 kB
    xet
    Upload sentinel.png about 1 year ago
  • special_tokens_map.json
    694 Bytes
    Duplicated model from jailbreak-benign to prompt-injection about 1 year ago
  • tokenizer.json
    3.58 MB
    Duplicated model from jailbreak-benign to prompt-injection about 1 year ago
  • tokenizer_config.json
    20.8 kB
    Duplicated model from jailbreak-benign to prompt-injection about 1 year ago