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answerdotai
/
answerai-colbert-small-v1

sentence-transformers
ONNX
Safetensors
English
bert
ColBERT
multi-vector
RAGatouille
passage-retrieval
Model card Files Files and versions
xet
Community
17

Instructions to use answerdotai/answerai-colbert-small-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use answerdotai/answerai-colbert-small-v1 with sentence-transformers:

    from sentence_transformers import MultiVectorEncoder
    
    model = MultiVectorEncoder("answerdotai/answerai-colbert-small-v1")
    
    queries = ["Which planet is known as the Red Planet?"]
    documents = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    ]
    
    query_embeddings = model.encode_query(queries)
    document_embeddings = model.encode_document(documents)
    
    similarities = model.similarity(query_embeddings, document_embeddings)
    print(similarities)
  • Notebooks
  • Google Colab
  • Kaggle
answerai-colbert-small-v1
135 MB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 19 commits
tomaarsen's picture
tomaarsen HF Staff
Fix a snippet
478a985 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
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  • artifact.metadata
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  • config.json
    702 Bytes
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  • model.safetensors
    134 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.24 kB
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  • vocab.txt
    232 kB
    Upload vocab.txt about 2 years ago