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CIRCL
/
vulnerability-severity-classification-chinese-macbert-base-test

Text Classification
Transformers
Safetensors
Chinese
bert
vulnerability
severity
cybersecurity
cnvd
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use CIRCL/vulnerability-severity-classification-chinese-macbert-base-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CIRCL/vulnerability-severity-classification-chinese-macbert-base-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CIRCL/vulnerability-severity-classification-chinese-macbert-base-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-chinese-macbert-base-test")
    model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-chinese-macbert-base-test")
  • Notebooks
  • Google Colab
  • Kaggle
vulnerability-severity-classification-chinese-macbert-base-test
409 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
cedricbonhomme's picture
cedricbonhomme
Training in progress, epoch 1
4f4aa02 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • config.json
    1.1 kB
    Training in progress, epoch 1 2 months ago
  • model.safetensors
    409 MB
    xet
    Training in progress, epoch 1 2 months ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, epoch 1 2 months ago