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pngwn
/
github-issue-classifier-setfit-minilm

Text Classification
setfit
Safetensors
bert
github-issues
arxiv:2209.11055
Model card Files Files and versions
xet
Community

Instructions to use pngwn/github-issue-classifier-setfit-minilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use pngwn/github-issue-classifier-setfit-minilm with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("pngwn/github-issue-classifier-setfit-minilm")
    
    preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"])
    print(preds)
  • Notebooks
  • Google Colab
  • Kaggle
github-issue-classifier-setfit-minilm
91.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
pngwn's picture
pngwn HF Staff
model card: SetFit MiniLM 4-class GitHub issue classifier, results
a127ee5 verified 1 day ago
  • 1_Pooling
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  • 2_Normalize
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  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    1.82 kB
    model card: SetFit MiniLM 4-class GitHub issue classifier, results 1 day ago
  • config.json
    746 Bytes
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  • config_sentence_transformers.json
    284 Bytes
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  • config_setfit.json
    110 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • model_head.pkl

    Detected Pickle imports (4)

    • "sklearn.linear_model._logistic.LogisticRegression",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.dtype",
    • "numpy.ndarray"

    How to fix it?

    7.13 kB
    xet
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  • modules.json
    413 Bytes
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  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    594 Bytes
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