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

## Applied Quantizations

### ❌ Based on `model.onnx` *with* slimming

```
None
```
↳ ❌ `q4f16`: `model_q4f16.onnx` (added but JS-based E2E test failed)
```
file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:30853
throw Error(`\`local_files_only=true\` or \`env.allowRemoteModels=false\` and file was not found locally at "${localPath}".`);
^

Error: `local_files_only=true` or `env.allowRemoteModels=false` and file was not found locally at "/tmp/tmp6lysj965/7384b309cd7f45cf8ad176a597cc5effe4e14c76/tokenizer.json".
at getModelFile (file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:30853:27)
at async getModelJSON (file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:30997:20)
at async Promise.all (index 0)
at async loadTokenizer (file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:24010:18)
at async AutoTokenizer.from_pretrained (file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:28351:50)
at async Promise.all (index 0)
at async loadItems (file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:23881:5)
at async pipeline (file:///home/ubuntu/src/tjsmigration/node_modules/.pnpm/@[email protected]/node_modules/@huggingface/transformers/dist/transformers.node.mjs:23811:21)
at async file:///home/ubuntu/src/tjsmigration/src/[eval1]:8:15

Node.js v22.16.0
```

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-s`.
 
 ```js
-import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
+import { AutoModel, AutoProcessor, RawImage } from '@huggingface/transformers';
 
 // Load model and processor
 const model_id = 'Xenova/RTMO-s';
@@ -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];