https://huggingface.co/intfloat/multilingual-e5-small with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Run feature extraction.
import { pipeline } from '@huggingface/transformers';
const extractor = await pipeline('feature-extraction', 'Xenova/multilingual-e5-small');
const output = await extractor('This is a simple test.');
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
- Downloads last month
- 3,055,826
Model tree for Xenova/multilingual-e5-small
Base model
intfloat/multilingual-e5-small
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Xenova/multilingual-e5-small');