mmarco-mMiniLMv2-L12-H384-v1 is an open-source cross-encoder model optimized for text ranking and retrieval tasks. It is compatible with sentence-transformers and ONNX, making it suitable for search and information retrieval applications. Designed for engineers and researchers in NLP.
In the Embeddings & retrieval space, Mmarco mMiniLMv2 L12 H384 takes a focused approach. It provides efficient text ranking and retrieval for search and information retrieval systems. It is built as an open-source project for search engineers. Mmarco mMiniLMv2 L12 H384 is open source under the Open Source license. Mmarco mMiniLMv2 L12 H384 is available on the web and the command line, and it can be self-hosted.
It is developed by cross-encoder, and it first shipped in 2022. Key capabilities include text ranking, cross-encoder architecture, and sentence-transformers compatible.
Summary written by a language model from the project’s public pages.
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