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almugabo
/
review_classifier

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

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

  • Libraries
  • setfit

    How to use almugabo/review_classifier with setfit:

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

    How to use almugabo/review_classifier with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("almugabo/review_classifier")
    
    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
review_classifier
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
almugabo's picture
almugabo
update
c87449e verified over 2 years ago
  • 1_Pooling
    Push model using huggingface_hub. over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    4.15 kB
    update over 2 years ago
  • config.json
    592 Bytes
    Push model using huggingface_hub. over 2 years ago
  • config_sentence_transformers.json
    122 Bytes
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  • config_setfit.json
    53 Bytes
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  • model.safetensors
    438 MB
    xet
    Push model using huggingface_hub. over 2 years ago
  • model_head.pkl
    6.99 kB
    xet
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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
    712 kB
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  • tokenizer_config.json
    1.47 kB
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  • vocab.txt
    232 kB
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