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Amitava25
/
clinc150-mpnet-oos

Text Classification
Joblib
sentence-transformers
English
scikit-learn
intent-classification
clinc150
out-of-scope-detection
linear-svc
Model card Files Files and versions
xet
Community

Instructions to use Amitava25/clinc150-mpnet-oos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Amitava25/clinc150-mpnet-oos with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Amitava25/clinc150-mpnet-oos")
    
    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
clinc150-mpnet-oos
4.74 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Amitava25's picture
Amitava25
Upload README.md with huggingface_hub
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  • .gitattributes
    1.52 kB
    initial commit 29 days ago
  • README.md
    3.58 kB
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  • champion.json
    1.19 kB
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  • feature_mapping.json
    19 kB
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  • label_mapping.json
    3.78 kB
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  • label_text_mapping.json
    3.78 kB
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  • model.joblib

    Detected Pickle imports (8)

    • "numpy.dtype",
    • "sklearn.pipeline.Pipeline",
    • "banking77_intent_classifier.encoders.SentenceTransformerEncoder",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.ndarray",
    • "sklearn.svm._classes.LinearSVC",
    • "sklearn.calibration._CalibratedClassifier",
    • "sklearn.calibration.CalibratedClassifierCV"

    How to fix it?

    4.7 MB
    xet
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  • model_metadata.json
    769 Bytes
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  • requirements.txt
    179 Bytes
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