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edaerer
/
promptwaf-path-traversal

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

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

  • Libraries
  • Transformers

    How to use edaerer/promptwaf-path-traversal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="edaerer/promptwaf-path-traversal")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("edaerer/promptwaf-path-traversal")
    model = AutoModelForSequenceClassification.from_pretrained("edaerer/promptwaf-path-traversal")
  • Notebooks
  • Google Colab
  • Kaggle
promptwaf-path-traversal
746 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
edaerer's picture
edaerer
Update README.md
753b9c0 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    2.42 kB
    Update README.md 3 days ago
  • config.json
    1.06 kB
    Upload 4 files 4 days ago
  • model.safetensors
    737 MB
    xet
    Upload 4 files 4 days ago
  • tokenizer.json
    8.34 MB
    Upload 4 files 4 days ago
  • tokenizer_config.json
    503 Bytes
    Upload 4 files 4 days ago