This is a sentence-transformers model based on the MiniLM architecture trained for paraphrase detection across multiple languages. It generates dense vector embeddings that capture semantic meaning, enabling applications such as semantic search, clustering, and information retrieval. The model is hosted on Hugging Face and can be used via the sentence-transformers or transformers libraries.
Paraphrase Multilingual MiniLM L12 is a Foundation models & chat product. It focuses on converting sentences into high-quality multilingual embeddings for semantic search and clustering. Paraphrase Multilingual MiniLM L12 is an open-source project aimed at developers. The project is open source (Open Source). Paraphrase Multilingual MiniLM L12 is available on the web, the command line, and API.
It is developed by Sentence Transformers, and the product first shipped in 2022. PulseGate's similarity index places it among 6 comparable tools. Among its 3 catalogued features are Semantic Similarity, Multilingual Support, and Sentence Embeddings. It exposes integrations via a public API.
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