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ctokx
/
cti-attack-mapper-modernbert

Text Classification
Transformers
Safetensors
English
modernbert
cyber-threat-intelligence
mitre-attack
multi-label-classification
defensive-security
blue-team
threat-intelligence
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ctokx/cti-attack-mapper-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ctokx/cti-attack-mapper-modernbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ctokx/cti-attack-mapper-modernbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ctokx/cti-attack-mapper-modernbert")
    model = AutoModelForSequenceClassification.from_pretrained("ctokx/cti-attack-mapper-modernbert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cti-attack-mapper-modernbert / results
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  • 1 contributor
History: 1 commit
ctokx's picture
ctokx
Add results/
d94be6a verified 7 days ago
  • RESULTS.md
    4.28 kB
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  • baselines__document.json
    54.9 kB
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  • baselines__random.json
    54.6 kB
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  • cv_5fold__modernbert.json
    3.54 kB
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  • ensemble_tfidf_modernbert__document.json
    17.5 kB
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  • modernbert__document.json
    17.3 kB
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  • modernbert__random.json
    17.1 kB
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  • securebert__document.json
    17.2 kB
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  • securebert__random.json
    17.1 kB
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