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 (a66a8b2879df8d3c41668ebc7fac5e61d03e8b0e)


Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>

README.md

@@ -10,15 +10,15 @@ https://github.com/open-mmlab/mmpose/tree/main/projects/rtmo with ONNX weights t
 
 ## 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/@xenova/transformers) using:
+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 @xenova/transformers
+npm i @huggingface/transformers
 ```
 
 **Example:** Perform pose-estimation w/ `Xenova/RTMO-m`.
 
 ```js
-import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
+import { AutoModel, AutoProcessor, RawImage } from '@huggingface/transformers';
 
 // Load model and processor
 const model_id = 'Xenova/RTMO-m';
@@ -57,7 +57,7 @@ for (let i = 0; i < predicted_boxes.length; ++i) {
     const x2 = (xmax * xScale).toFixed(2);
     const y2 = (ymax * yScale).toFixed(2);
 
-    console.log(`Found person at [${x1}, ${y1}, ${x2}, ${y2}] with score ${box_score.toFixed(3)}`)
+    console.log(`Found person at [${x1}, ${y1}, ${x2}, ${y2}] with score ${box_score.toFixed(3)}`);
     const points = predicted_points[i]; // of shape [17, 3]
     for (let id = 0; id < points.length; ++id) {
         const label = model.config.id2label[id];