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fabiancpl
/
nlbse25_java

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

Instructions to use fabiancpl/nlbse25_java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use fabiancpl/nlbse25_java with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("fabiancpl/nlbse25_java")
  • sentence-transformers

    How to use fabiancpl/nlbse25_java with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("fabiancpl/nlbse25_java")
    
    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
nlbse25_java
92.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
fabiancpl's picture
fabiancpl
Update README.md
f0a18cb verified 11 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.03 kB
    Update README.md 11 months ago
  • config.json
    678 Bytes
    Update config.json 11 months ago
  • config_sentence_transformers.json
    205 Bytes
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  • config_setfit.json
    53 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • model_head.pkl
    1.03 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.43 kB
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  • vocab.txt
    232 kB
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