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| 2 models | intfloatmultilingual-e5-large-instructRemove × | shibing624text2vec-base-chineseRemove × |
|---|---|---|
| What’s different | The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”… | A sentence similarity model that can be used for various NLP tasks such as text classification, sentiment analysis, named entity recognition, question answering, and more. It utilizes the CoSENT… |
| Date | Apr 17, 2025Listed | Feb 28, 2023Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 0 endpoints → |
Specifications | ||
| Context window | 512 | 512 |
| Max output | — | — |
| Parameters | — | — |