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:
- 8b63055da3f64ec9b09ddecaf55a0c678c9bf4c995c127403b4e6d552686b273
- Size of remote file:
- 399 MB
- SHA256:
- c5cee25d555ba3ff45b47d50cffd6d9d7842e3b1d21a91f417bc677845469969
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.