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Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
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metadata
base_model: sileod/deberta-v3-large-tasksource-nli
library_name: transformers.js
pipeline_tag: zero-shot-classification

https://huggingface.co/sileod/deberta-v3-large-tasksource-nli 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/deberta-v3-large-tasksource-nli');
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).