Xenova/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7

https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 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: Zero-shot text classification.

import { pipeline } from '@huggingface/transformers';

const classifier = await pipeline('zero-shot-classification', 'Xenova/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7');
const output = await classifier(
    'I love transformers!',
    ['positive', 'negative']
);

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).