ms-marco-MiniLM-L4-v2 is an open-source cross-encoder model optimized for text ranking and semantic search tasks. It is used by NLP developers and researchers to improve information retrieval and ranking in search systems.
Ms Marco MiniLM L4 is an Embeddings & retrieval project. It focuses on enabling accurate text ranking and semantic search for information retrieval applications. Ms Marco MiniLM L4 is an open-source project aimed at NLP developers and researchers. The project is open source (MIT). It runs on the web, the command line, and API, and it can be self-hosted.
It is developed by cross-encoder, and it first shipped in 2019. The GitHub repository has been archived. Among its 5 catalogued features are text ranking, semantic search, and cross-encoder architecture.
Summary written by a language model from the project’s public pages.
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