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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

peter2000
/
setfit-vulnerability-groups

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use peter2000/setfit-vulnerability-groups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use peter2000/setfit-vulnerability-groups with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("peter2000/setfit-vulnerability-groups")
  • sentence-transformers

    How to use peter2000/setfit-vulnerability-groups with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("peter2000/setfit-vulnerability-groups")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
setfit-vulnerability-groups
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
peter2000's picture
peter2000
Full accuracy+F1 metrics: laya zero-shot, laya fine-tuned, setfit (95 test rows)
1cf4a19 verified 2 days ago
  • 1_Pooling
    Add SetFit model 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    8.92 kB
    Add SetFit model 2 days ago
  • config.json
    598 Bytes
    Add SetFit model 2 days ago
  • config_sentence_transformers.json
    284 Bytes
    Add SetFit model 2 days ago
  • config_setfit.json
    610 Bytes
    Add SetFit model 2 days ago
  • metrics.json
    842 Bytes
    Add evaluation metrics (macro-F1, micro-F1, per-label F1, ECE) 2 days ago
  • metrics_full.json
    128 kB
    Full accuracy+F1 metrics: laya zero-shot, laya fine-tuned, setfit (95 test rows) 2 days ago
  • model.safetensors
    438 MB
    xet
    Add SetFit model 2 days ago
  • model_head.pkl

    Detected Pickle imports (6)

    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "sklearn.preprocessing._label.LabelBinarizer",
    • "numpy.dtype",
    • "sklearn.linear_model._logistic.LogisticRegression",
    • "sklearn.multiclass.OneVsRestClassifier"

    How to fix it?

    58.9 kB
    xet
    Add SetFit model 2 days ago
  • modules.json
    277 Bytes
    Add SetFit model 2 days ago
  • sentence_bert_config.json
    241 Bytes
    Add SetFit model 2 days ago
  • tokenizer.json
    711 kB
    Add SetFit model 2 days ago
  • tokenizer_config.json
    446 Bytes
    Add SetFit model 2 days ago
  • train_setfit.py
    4.91 kB
    Add training script: SetFit one-vs-rest multi-label classifier on GIZ vulnerability data 2 days ago