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SamuelMauli
/
parity-embedding-juridico-br-v4

Feature Extraction
sentence-transformers
ONNX
Safetensors
Portuguese
bert
legal
portuguese
brazilian
licitacao
procurement
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SamuelMauli/parity-embedding-juridico-br-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use SamuelMauli/parity-embedding-juridico-br-v4 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("SamuelMauli/parity-embedding-juridico-br-v4")
    
    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
parity-embedding-juridico-br-v4 / eval
Ctrl+K
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  • 1 contributor
History: 1 commit
SamuelMauli's picture
SamuelMauli
parity-embedding-juridico-br-v1: initial fine-tune
4a6e89d verified 27 days ago
  • triplet_evaluation_parity-v4-eval_results.csv
    113 Bytes
    parity-embedding-juridico-br-v1: initial fine-tune 27 days ago