This is a sentence-transformers model trained to produce high-quality sentence embeddings for paraphrase identification and semantic textual similarity across multiple languages. It is based on the MPNet architecture and supports over 50 languages. It is optimized for tasks like clustering, semantic search, and information retrieval.
Paraphrase Multilingual Mpnet Base sits in PulseGate's Embeddings & retrieval category. It focuses on creating high-quality multilingual sentence representations for semantic tasks. It is built as an open-source project for developers building multilingual NLP applications. Paraphrase Multilingual Mpnet Base is open source under the Apache-2.0 license. It runs on the command line and API.
Behind Paraphrase Multilingual Mpnet Base is Sentence Transformers, and it first shipped in 2023. The project is developed in the open on GitHub with 5k stars and 7 commits in the last 90 days. Key capabilities include Sentence Embeddings, Multilingual Support, and Semantic Similarity.
Summary written by a language model from the project’s public pages.
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