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mulliken
/
cwe-predictor

Text Classification
Transformers
Safetensors
English
distilbert
security
cyber-security
CWE
vulnerability-classification
cve
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mulliken/cwe-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mulliken/cwe-predictor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mulliken/cwe-predictor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mulliken/cwe-predictor")
    model = AutoModelForSequenceClassification.from_pretrained("mulliken/cwe-predictor")
  • Notebooks
  • Google Colab
  • Kaggle
cwe-predictor
270 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
mulliken's picture
mulliken
Upload README.md with huggingface_hub
4623741 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • CWE_Predictor.ipynb
    26.3 kB
    Upload CWE_Predictor.ipynb with huggingface_hub 9 months ago
  • README.md
    11.2 kB
    Upload README.md with huggingface_hub 9 months ago
  • config.json
    10.1 kB
    Upload DistilBertForSequenceClassification 9 months ago
  • model.safetensors
    269 MB
    xet
    Upload DistilBertForSequenceClassification 9 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 9 months ago
  • tokenizer.json
    711 kB
    Upload tokenizer 9 months ago
  • tokenizer_config.json
    1.34 kB
    Upload tokenizer 9 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 9 months ago