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aadiausa
/
Set_Fit_Ausa

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

Instructions to use aadiausa/Set_Fit_Ausa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use aadiausa/Set_Fit_Ausa with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("aadiausa/Set_Fit_Ausa")
  • sentence-transformers

    How to use aadiausa/Set_Fit_Ausa with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("aadiausa/Set_Fit_Ausa")
    
    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
Set_Fit_Ausa / onnx
136 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
aadiausa's picture
aadiausa
Refresh onnx/ export to current 39-label model (adds messages.read; matches flat top-level)
7c34f4f verified 18 days ago
  • config.json
    1.18 kB
    Refresh onnx/ export to current 39-label model (adds messages.read; matches flat top-level) 18 days ago
  • model.onnx
    1.29 MB
    xet
    Refresh onnx/ export to current 39-label model (adds messages.read; matches flat top-level) 18 days ago
  • model.onnx.data

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    133 MB
    xet
    Refresh onnx/ export to current 39-label model (adds messages.read; matches flat top-level) 18 days ago
  • model_head.pkl

    Detected Pickle imports (4)

    • "numpy.dtype",
    • "numpy._core.multiarray._reconstruct",
    • "numpy.ndarray",
    • "sklearn.linear_model._logistic.LogisticRegression"

    How to fix it?

    121 kB
    xet
    Refresh onnx/ export to current 39-label model (adds messages.read; matches flat top-level) 18 days ago
  • special_tokens_map.json
    695 Bytes
    chore: ONNX export โ€” summary.read retrain about 1 month ago
  • tokenizer.json
    712 kB
    chore: ONNX export โ€” summary.read retrain about 1 month ago
  • tokenizer_config.json
    1.51 kB
    chore: ONNX export โ€” summary.read retrain about 1 month ago