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topk-io
/
Iso-ModernColBERT

Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
SMVE
ColBERT
PyLate
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use topk-io/Iso-ModernColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use topk-io/Iso-ModernColBERT with sentence-transformers:

    from pylate import models
    
    queries = [
        "Which planet is known as the Red Planet?",
        "What is the largest planet in our solar system?",
    ]
    
    documents = [
        ["Mars is the Red Planet.", "Venus is Earth's twin."],
        ["Jupiter is the largest planet.", "Saturn has rings."],
    ]
    
    model = models.ColBERT(model_name_or_path="topk-io/Iso-ModernColBERT")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
Iso-ModernColBERT
302 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
marekgalovic's picture
marekgalovic
Update README.md
a43b93e verified 4 days ago
  • 1_Dense
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  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
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  • config.json
    1.93 kB
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  • config_sentence_transformers.json
    600 Bytes
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  • model.safetensors
    298 MB
    xet
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  • modules.json
    216 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    541 Bytes
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