Instructions to use Xenova/multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/multilingual-e5-small with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Xenova/multilingual-e5-small');
- Xet hash:
- 282762e9f940a7d562180cbea99f22f02a1b0af19160a3d13273189715d46efc
- Size of remote file:
- 118 MB
- SHA256:
- 4d24e2bc01a447951524466ef533e52944bf48509e6552810bcee1a2711cb02c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.