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Chidamtek
/
bert-llvm-ir-vulnerability-detection

Text Classification
Transformers
Safetensors
English
bert
vulnerability-detection
llvm-ir
cybersecurity
machine-learning
static-analysis
Model card Files Files and versions
xet
Community

Instructions to use Chidamtek/bert-llvm-ir-vulnerability-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Chidamtek/bert-llvm-ir-vulnerability-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Chidamtek/bert-llvm-ir-vulnerability-detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Chidamtek/bert-llvm-ir-vulnerability-detection")
    model = AutoModelForSequenceClassification.from_pretrained("Chidamtek/bert-llvm-ir-vulnerability-detection")
  • Notebooks
  • Google Colab
  • Kaggle
bert-llvm-ir-vulnerability-detection
438 MB
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  • 1 contributor
History: 6 commits
Chidamtek's picture
Chidamtek
Update README.md
68e9c1d verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    2.59 kB
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  • config.json
    727 Bytes
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  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.27 kB
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  • vocab.txt
    232 kB
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