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 – Uptime and Availability
Uptime stats for paraphrase-MiniLM-L6-v2
Uptime stats for paraphrase-MiniLM-L6-v2 across all providers