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 (c748206a432f48fa832f86d237a15b4e3c6b8a96)


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

README.md

@@ -8,15 +8,15 @@ https://huggingface.co/nvidia/segformer-b2-finetuned-cityscapes-1024-1024 with O
 
 ## 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:** Image segmentation with `Xenova/segformer-b2-finetuned-cityscapes-1024-1024`.
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 // Create an image segmentation pipeline
 const segmenter = await pipeline('image-segmentation', 'Xenova/segformer-b2-finetuned-cityscapes-1024-1024');
@@ -24,7 +24,7 @@ const segmenter = await pipeline('image-segmentation', 'Xenova/segformer-b2-fine
 // Segment an image
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cityscapes.png';
 const output = await segmenter(url);
-console.log(output)
+console.log(output);
 // [
 //   {
 //     score: null,