sentence-transformers/stsb-xlm-r-multilingual is a multilingual sentence embedding model based on XLM-R. It is trained on the STS benchmark and produces high-quality vector representations for text in many languages. The model is commonly used for semantic search, clustering, and paraphrase detection.
In the Foundation models & chat space, Stsb Xlm R Multilingual takes a focused approach. It focuses on computing semantic similarity between sentences across multiple languages. Stsb Xlm R Multilingual is an open-source project aimed at developers. The project is open source (Open Source). It runs on the web, the command line, and API.
Behind Stsb Xlm R Multilingual is sentence-transformers, and the product first shipped in 2022.
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