--- base_model: intfloat/e5-large-v2 library_name: transformers.js --- https://huggingface.co/intfloat/e5-large-v2 with ONNX weights to be compatible with Transformers.js. ## Usage (Transformers.js) If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using: ```bash npm i @huggingface/transformers ``` **Example:** Run feature extraction. ```js import { pipeline } from '@huggingface/transformers'; const extractor = await pipeline('feature-extraction', 'Xenova/e5-large-v2'); 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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).