The paraphrase-MiniLM-L6-v2 embedding model converts sentences and short paragraphs into a 384-dimensional dense vector space, producing high-quality semantic embeddings optimized for paraphrase detection, semantic similarity scoring, clustering, and lightweight retrieval tasks.
Sentence Transformers: paraphrase-MiniLM-L6-v2 – Provider Status and Pricing
Providers for paraphrase-MiniLM-L6-v2
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