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enricollen
/
ItColBERT

Sentence Similarity
Safetensors
sentence-transformers
Italian
pylate
modernbert
colbert
late-interaction
italian
retrieval
information-retrieval
rag
multi-vector
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use enricollen/ItColBERT with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("enricollen/ItColBERT")
    
    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
ItColBERT / 1_Dense
393 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
enricollen's picture
enricollen
Add new ColBERT model
6bd0ed7 verified 3 days ago
  • config.json
    160 Bytes
    Add new ColBERT model 3 days ago
  • model.safetensors
    393 kB
    xet
    Add new ColBERT model 3 days ago