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Canstralian
/
CyberAttackDetection

Text Classification
Transformers
English
code
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use Canstralian/CyberAttackDetection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Canstralian/CyberAttackDetection")
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("Canstralian/CyberAttackDetection", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CyberAttackDetection
17.2 kB
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  • 1 contributor
History: 20 commits
Canstralian's picture
Canstralian
Update README.md
f7e35ad verified over 1 year ago
  • tokenizers
    Create tokenizers/tokenizer.json over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    7.06 kB
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  • config.json
    478 Bytes
    Rename tokenizer/config.json to config.json over 1 year ago
  • config.py
    310 Bytes
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  • dataset.json
    362 Bytes
    Create dataset.json over 1 year ago
  • model.py
    5.29 kB
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  • prompts.py
    1.03 kB
    Create prompts.py over 1 year ago
  • requirements.txt
    34 Bytes
    Create requirements.txt over 1 year ago
  • utils.py
    460 Bytes
    Create utils.py over 1 year ago