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tmp-org
/
tmp_cv_model_2025_10_13_0

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

Instructions to use tmp-org/tmp_cv_model_2025_10_13_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use tmp-org/tmp_cv_model_2025_10_13_0 with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("tmp-org/tmp_cv_model_2025_10_13_0")
  • sentence-transformers

    How to use tmp-org/tmp_cv_model_2025_10_13_0 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("tmp-org/tmp_cv_model_2025_10_13_0", trust_remote_code=True)
    
    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
tmp_cv_model_2025_10_13_0
1.24 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
SzymonKozl's picture
SzymonKozl
Push model using huggingface_hub.
57051aa verified 3 months ago
  • 1_Pooling
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
    284 Bytes
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  • config_setfit.json
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  • configuration.py
    7.13 kB
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  • model.safetensors
    1.22 GB
    xet
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  • model_head.pkl

    Detected Pickle imports (4)

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

    How to fix it?

    151 kB
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  • modeling.py
    59 kB
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    58 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.18 kB
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