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Ana2012
/
bertimbau-buscador

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:17
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Ana2012/bertimbau-buscador with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Ana2012/bertimbau-buscador with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Ana2012/bertimbau-buscador")
    
    sentences = [
        "pizza grande de calabressa",
        "Calabresa",
        "Geladinho Gourmet Ninho com Nutella",
        "ÁGUA COM GÁS"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
bertimbau-buscador
436 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Ana2012's picture
Ana2012
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  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    10.8 kB
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  • config.json
    883 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    436 MB
    xet
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  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • tokenizer.json
    678 kB
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  • tokenizer_config.json
    351 Bytes
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