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antoinelouis
/
colbert-xm

Sentence Similarity
Safetensors
sentence-transformers
colbert-ai
xmod
colbert
multi-vector
passage-retrieval
Eval Results (legacy)
Model card Files Files and versions
xet
Community
5

Instructions to use antoinelouis/colbert-xm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use antoinelouis/colbert-xm with sentence-transformers:

    from sentence_transformers import MultiVectorEncoder
    
    model = MultiVectorEncoder("antoinelouis/colbert-xm")
    
    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)
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ValueError: The state dictionary of the model you are trying to load is corrupted. Are you sure it was properly saved?

#3 opened about 2 years ago by
secain

ONNX support

👍 1
#2 opened over 2 years ago by
libryo-ai
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