This sentence-transformers model produces multilingual embeddings based on XLM-R. It is designed for tasks like semantic textual similarity, paraphrase detection, and information retrieval across over 100 languages. It is widely used in RAG and semantic search applications.
Paraphrase Xlm R Multilingual sits in PulseGate's Foundation models & chat category. It focuses on creating high-quality multilingual embeddings for semantic search, clustering, and paraphrase identification across many languages. Paraphrase Xlm R Multilingual is an open-source project aimed at NLP developers and researchers. The project is open source (Open Source). It ships for the web, the command line, and API.
sentence-transformers builds and maintains Paraphrase Xlm R Multilingual. Among its 3 catalogued features are sentence embeddings, multilingual support, and semantic similarity.
Summary written by a language model from the project’s public pages.
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