metadata
base_model: dima806/facial_emotions_image_detection
library_name: transformers.js
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 @xenova/transformers
Example: Perform emotion detection with Xenova/facial_emotions_image_detection:
import { pipeline } from '@xenova/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 }]
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).