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 (b86d3afe271fb9de9a68cb11733a72ee02883710)


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

README.md

@@ -8,15 +8,15 @@ https://huggingface.co/mattmdjaga/segformer_b0_clothes with ONNX weights to be c
 
 ## 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:** Clothes segmentation with `Xenova/segformer_b0_clothes`.
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 const segmenter = await pipeline('image-segmentation', 'Xenova/segformer_b0_clothes');
 
@@ -51,6 +51,4 @@ for (const l of output) {
 
 ---
 
-
-
 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`).