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CIRCL
/
vulnerability-attack-technique-classification-pilot

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use CIRCL/vulnerability-attack-technique-classification-pilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CIRCL/vulnerability-attack-technique-classification-pilot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CIRCL/vulnerability-attack-technique-classification-pilot")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-attack-technique-classification-pilot")
    model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-attack-technique-classification-pilot", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vulnerability-attack-technique-classification-pilot
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
cedricbonhomme's picture
cedricbonhomme
End of training
a6f297f verified 12 days ago
  • .gitattributes
    1.52 kB
    initial commit 12 days ago
  • README.md
    7.05 kB
    End of training 12 days ago
  • config.json
    2.92 kB
    End of training 12 days ago
  • emissions.csv
    1.03 kB
    End of training 12 days ago
  • metrics.json
    425 Bytes
    End of training 12 days ago
  • model.safetensors
    499 MB
    xet
    End of training 12 days ago
  • tokenizer.json
    3.56 MB
    End of training 12 days ago
  • tokenizer_config.json
    388 Bytes
    End of training 12 days ago
  • training_args.bin
    5.27 kB
    xet
    End of training 12 days ago