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lightonai
/
Agent-ModernColBERT

Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:5238
loss:CachedContrastive
text-embeddings-inference
🇪🇺 Region: EU
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • sentence-transformers

    How to use lightonai/Agent-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="lightonai/Agent-ModernColBERT")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
Agent-ModernColBERT / 1_Dense
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  • 2 contributors
History: 1 commit
NohTow's picture
NohTow
Add new ColBERT model
3eb8e84 verified about 14 hours ago
  • config.json
    160 Bytes
    Add new ColBERT model about 14 hours ago
  • model.safetensors
    393 kB
    xet
    Add new ColBERT model about 14 hours ago