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| 1 model | intfloatIntfloat: E5-Base-v2Remove × |
|---|---|
| What’s different | The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as… |
| Date | Nov 22, 2023Listed |
API prices USD · provider configuration shown below | |
| Listed rate | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → |
Specifications | |
| Context window | 512 |
| Max output | 460 |
| Parameters | — |
| Open weights | Supported |