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/tmpq0kkv6l3/4fc37fa2e014be6ed7aa0f59139f2aaf5b7ef714/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

@@ -9,15 +9,15 @@ YOLOv8s-pose 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/@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/yolov8s-pose`.
 
 ```js
-import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
+import { AutoModel, AutoProcessor, RawImage } from '@huggingface/transformers';
 
 // Load model and processor
 const model_id = 'Xenova/yolov8s-pose';
@@ -57,7 +57,7 @@ for (const [xc, yc, w, h, score, ...keypoints] of permuted.tolist()) {
     const y1 = (yc - h / 2) / scaledHeight * image.height;
     const x2 = (xc + w / 2) / scaledWidth * image.width;
     const y2 = (yc + h / 2) / scaledHeight * image.height;
-    results.push({ x1, x2, y1, y2, score, keypoints })
+    results.push({ x1, x2, y1, y2, score, keypoints });
 }
 
 
@@ -108,7 +108,7 @@ const filteredResults = removeDuplicates(results, iouThreshold);
 
 // Display results
 for (const { x1, x2, y1, y2, score, keypoints } of filteredResults) {
-    console.log(`Found person at [${x1}, ${y1}, ${x2}, ${y2}] with score ${score.toFixed(3)}`)
+    console.log(`Found person at [${x1}, ${y1}, ${x2}, ${y2}] with score ${score.toFixed(3)}`);
     for (let i = 0; i < keypoints.length; i += 3) {
         const label = model.config.id2label[Math.floor(i / 3)];
         const [x, y, point_score] = keypoints.slice(i, i + 3);