Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

CIRCL
/
vulnerability-severity-classification-roberta-base

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
classification
nlp
vulnerability
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use CIRCL/vulnerability-severity-classification-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CIRCL/vulnerability-severity-classification-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
vulnerability-severity-classification-roberta-base
503 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 270 commits
cedricbonhomme's picture
cedricbonhomme
Training in progress, epoch 1
eedffdd verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.83 kB
    Update README.md 10 months ago
  • config.json
    878 Bytes
    Training in progress, epoch 1 10 months ago
  • emissions.csv
    825 Bytes
    End of training 10 months ago
  • merges.txt
    456 kB
    Training in progress, epoch 1 over 1 year ago
  • model.safetensors
    499 MB
    xet
    Training in progress, epoch 1 10 months ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, epoch 1 over 1 year ago
  • tokenizer.json
    3.56 MB
    Training in progress, epoch 1 about 1 year ago
  • tokenizer_config.json
    1.25 kB
    Training in progress, epoch 1 over 1 year ago
  • training_args.bin
    5.78 kB
    xet
    Training in progress, epoch 1 10 months ago
  • vocab.json
    798 kB
    Training in progress, epoch 1 over 1 year ago