https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-dot-v1 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/multi-qa-mpnet-base-dot-v1');
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 πŸ€— Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

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