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LiquidAI
/
LFM2-ColBERT-350M

Sentence Similarity
Safetensors
sentence-transformers
PyLate
lfm2
liquid
edge
ColBERT
feature-extraction
Eval Results (legacy)
Model card Files Files and versions
xet
Community
6

Instructions to use LiquidAI/LFM2-ColBERT-350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use LiquidAI/LFM2-ColBERT-350M 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="LiquidAI/LFM2-ColBERT-350M")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
LFM2-ColBERT-350M
1.42 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 7 commits
EdoardoMosca's picture
EdoardoMosca
zwischenraum's picture
zwischenraum
Update README.md (#6)
0c31032 1 day ago
  • 1_Dense
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  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • LICENSE
    10.6 kB
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  • README.md
    61.9 kB
    Update README.md (#6) 1 day ago
  • chat_template.jinja
    1.3 kB
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  • config.json
    1.22 kB
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  • config_sentence_transformers.json
    693 Bytes
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  • model.safetensors
    1.41 GB
    xet
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  • modules.json
    216 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    323 Bytes
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  • tokenizer.json
    4.73 MB
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  • tokenizer_config.json
    91.9 kB
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