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.
Stsb Xlm R Multilingual is a Foundation models & chat project. It focuses on computing semantic similarity between sentences across multiple languages. Stsb Xlm R Multilingual is an open-source project aimed at developers. Stsb Xlm R Multilingual is open source under the Open Source license. It ships for the web, the command line, and API.
Behind Stsb Xlm R Multilingual is sentence-transformers.
Summary written by a language model from the project’s public pages.
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