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binbin83
/
setfit-MiniLM-dialog-act-fr

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

Instructions to use binbin83/setfit-MiniLM-dialog-act-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use binbin83/setfit-MiniLM-dialog-act-fr with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("binbin83/setfit-MiniLM-dialog-act-fr")
    
    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]
  • setfit

    How to use binbin83/setfit-MiniLM-dialog-act-fr with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("binbin83/setfit-MiniLM-dialog-act-fr")
  • Notebooks
  • Google Colab
  • Kaggle
setfit-MiniLM-dialog-act-fr
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  • 1 contributor
History: 3 commits
binbin83's picture
binbin83
Update README.md
512ca48 verified over 2 years ago
  • 1_Pooling
    Add SetFit model over 2 years ago
  • .gitattributes
    1.62 kB
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  • README.md
    4.43 kB
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  • config.json
    749 Bytes
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  • config_sentence_transformers.json
    122 Bytes
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  • model.safetensors
    471 MB
    xet
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  • model_head.pkl
    28.4 kB
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  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.42 kB
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  • unigram.json
    14.8 MB
    xet
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