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Xenova/
bert-base-multilingual-uncased-sentiment

Name: bert-base-multilingual-uncased-sentiment
Availability: InStock

nlptown/bert-base-multilingual-uncased-sentiment

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https://huggingface.co/nlptown/bert-base-multilingual-uncased-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 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).