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Kleva-ai
/
italian-bge-m3

Sentence Similarity
sentence-transformers
Safetensors
Italian
xlm-roberta
passage-retrieval
pruned
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Kleva-ai/italian-bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Kleva-ai/italian-bge-m3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Kleva-ai/italian-bge-m3")
    
    sentences = [
        "Questa è una persona felice",
        "Questo è un cane felice",
        "Questa è una persona molto felice",
        "Oggi è una giornata di sole"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle

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