facial_emotions_image_detection

https://huggingface.co/dima806/facial_emotions_image_detection 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: Perform emotion detection with Xenova/facial_emotions_image_detection:

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

// Create image classification pipeline
const classifier = await pipeline('image-classification', 'Xenova/facial_emotions_image_detection');

// Classify an image
const url = 'https://i.imgur.com/fhtXyYJ.png';
const output = await classifier(url);
// [{ label: 'disgust', score: 0.9915065169334412 }]

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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).