twitter-roberta-base-sentiment-latest

https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest 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: Sentiment Classification

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

const classifier = await pipeline('text-classification', 'Xenova/twitter-roberta-base-sentiment-latest');
const output = await classifier('I love transformers!');

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).