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cross-encoder/ms-marco-MiniLM-L6-v2huggingface.coThe cross-encoder/ms-marco-MiniLM-L6-v2 is a pre-trained Hugging Face cross-encoder model, trained on the MS MARCO Passage Ranking task for information retrieval. It encodes a query and candidate passages to produce relevance scores and ranks passages for re-ranking search results. The model can be used with SentenceTransformers or the Transformers library, with example code and benchmark performance on MS MARCO and TREC DL datasets.
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Sources
arxiv.org shapes more of what AI says about cross-encoder/ms-marco-MiniLM-L6-v2 than any other source, at 43% of its citations.
docs.bswen.com · mongodb.com · stackai.com
