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hsilvosa
/
bne-biencoder-entity-linker

Sentence Similarity
sentence-transformers
Safetensors
Spanish
bert
feature-extraction
bne
entity-linking
spanish
cultural-heritage
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hsilvosa/bne-biencoder-entity-linker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use hsilvosa/bne-biencoder-entity-linker with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hsilvosa/bne-biencoder-entity-linker")
    
    sentences = [
        "Esa es una persona feliz",
        "Ese es un perro feliz",
        "Esa es una persona muy feliz",
        "Hoy es un día soleado"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
bne-biencoder-entity-linker / eval
146 Bytes
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  • 1 contributor
History: 1 commit
hsilvosa's picture
hsilvosa
Add files using upload-large-folder tool
d110124 verified 5 days ago
  • similarity_evaluation_bne_val_results.csv
    146 Bytes
    Add files using upload-large-folder tool 5 days ago