sentence-transformers/paraphrase-MiniLM-L6-v2
deepinfra
This lightweight sentence embedding model excels at converting text into dense vector representations for semantic similarity tasks, making it ideal for developers and researchers needing fast, efficient paraphrase detection, clustering, and semantic search with minimal computational overhead.
- Context window
- — tokens
- Input cost
- —
- Output cost
- —
- Latency (p50)
- 70 ms
