Xenova/detr-resnet-50-panoptic

https://huggingface.co/facebook/detr-resnet-50-panoptic 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 image segmentation.

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

const segmenter = await pipeline('image-segmentation', 'Xenova/detr-resnet-50-panoptic');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const output = await segmenter(url);

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).