Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)

- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (2ca0a4edd5c32813060c38fa099736e6727f2535)


Co-authored-by: Yuichiro Tachibana <[email protected]>

README.md

@@ -5,4 +5,21 @@ library_name: transformers.js
 
 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](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+**Example:** Perform image segmentation.
+
+```js
+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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).