colbert-muvera-femto

64
20
1 language
license:apache-2.0
by
NeuML
Embedding Model
OTHER
New
64 downloads
Early-stage
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Quick Summary

This is a PyLate model finetuned from neuml/bert-hash-femto on the msmarco-en-bge-gemma unnormalized split dataset.

Code Examples

Usage (PyLate)python
from pylate import rank, models

queries = [
    "query A",
    "query B",
]

documents = [
    ["document A", "document B"],
    ["document 1", "document C", "document B"],
]

documents_ids = [
    [1, 2],
    [1, 3, 2],
]

model = models.ColBERT(
    model_name_or_path="neuml/colbert-muvera-femto",
)

queries_embeddings = model.encode(
    queries,
    is_query=True,
)

documents_embeddings = model.encode(
    documents,
    is_query=False,
)

reranked_documents = rank.rerank(
    documents_ids=documents_ids,
    queries_embeddings=queries_embeddings,
    documents_embeddings=documents_embeddings,
)

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