https://huggingface.co/blanchefort/rubert-base-cased-sentiment 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/bert-base-multilingual-uncased-sentiment');
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 ๐ค Optimum and structuring your repo like this one (with ONNX weights
located in a subfolder named onnx).
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blanchefort/rubert-base-cased-sentiment