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tasksource
/
tasksource-jev-nano-v1

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

Instructions to use tasksource/tasksource-jev-nano-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use tasksource/tasksource-jev-nano-v1 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="tasksource/tasksource-jev-nano-v1")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
tasksource-jev-nano-v1
619 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
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sileod
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31f67a9 verified 1 day ago
  • 1_Dense
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  • 2_Dense
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  • 3_Dense
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  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    18.8 kB
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  • config.json
    1.93 kB
    v3 weights: noulhalved-1M + 10% procedural (cbv2 60.5/60.0, b77 47.8) 5 days ago
  • config_sentence_transformers.json
    762 Bytes
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  • decision_meta.json
    996 Bytes
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  • model.safetensors
    596 MB
    xet
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  • modules.json
    422 Bytes
    v0: 512k natural typed sq_o (dev_selected step 4000) + card 10 days ago
  • sentence_bert_config.json
    57 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    571 Bytes
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