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edaerer
/
promptwaf-command-injection

Text Classification
Transformers
Safetensors
English
deberta-v2
security
prompt
cyber-security
llm-security
prompt-injection
command-injection
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use edaerer/promptwaf-command-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use edaerer/promptwaf-command-injection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="edaerer/promptwaf-command-injection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("edaerer/promptwaf-command-injection")
    model = AutoModelForSequenceClassification.from_pretrained("edaerer/promptwaf-command-injection")
  • Notebooks
  • Google Colab
  • Kaggle
promptwaf-command-injection
Ctrl+K
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  • 1 contributor
History: 3 commits
edaerer's picture
edaerer
Update README.md
b694c04 verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    2.47 kB
    Update README.md 1 day ago
  • config.json
    1.06 kB
    Upload 4 files 1 day ago
  • model.safetensors
    737 MB
    xet
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  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    503 Bytes
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