sentence-transformers/all-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 efficient retrieval, clustering, and matching capabilities with minimal computational overhead.
- Context window
- — tokens
- Input cost
- —
- Output cost
- —
- Latency (p50)
- 76 ms
