paraphrase-mpnet-base-v2 is an open-source sentence-transformers model based on MPNet that produces fixed-size embeddings for sentences and paragraphs. It is designed for tasks such as semantic search, paraphrase mining, and clustering. The model can be used via the sentence-transformers library or Hugging Face Transformers and runs locally or through inference providers.
In the Foundation models & chat space, Paraphrase Mpnet Base takes a focused approach. It focuses on converting sentences into high-quality vector embeddings for similarity and retrieval tasks. Paraphrase Mpnet Base is an open-source project aimed at developers. The project is open source (Apache-2.0). Paraphrase Mpnet Base is available on the command line and API.
It is developed by Sentence Transformers, and it first shipped in 2023. The project is developed in the open on GitHub with 5k stars and 8 commits in the last 90 days. Among its 3 catalogued features are sentence embeddings, semantic search, and paraphrase detection. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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