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

README.md

@@ -10,15 +10,15 @@ https://huggingface.co/CIDAS/clipseg-rd64-refined with ONNX weights to be compat
 
 ## 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 zero-shot image segmentation with a `CLIPSegForImageSegmentation` model.
 
 ```js
-import { AutoTokenizer, AutoProcessor, CLIPSegForImageSegmentation, RawImage } from '@xenova/transformers';
+import { AutoTokenizer, AutoProcessor, CLIPSegForImageSegmentation, RawImage } from '@huggingface/transformers';
 
 // Load tokenizer, processor, and model
 const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clipseg-rd64-refined');

onnx/model_bnb4.onnx

@@ -0,0 +1,3 @@
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+size 168027790

onnx/model_q4.onnx

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+size 174887416

onnx/model_q4f16.onnx

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+size 115520184

onnx/model_uint8.onnx

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