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

## Applied Quantizations

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

```
None
```
↳ ❌ `int8`: `model_int8.onnx` (added but JS-based E2E test failed)
```
/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:25
__classPrivateFieldGet(this, _OnnxruntimeSessionHandler_inferenceSession, "f").loadModel(pathOrBuffer, options);
^

Error: Could not find an implementation for ConvInteger(10) node with name '/vision_model/embeddings/patch_embedding/Conv_quant'
at new OnnxruntimeSessionHandler (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:25:92)
at Immediate.<anonymous> (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:67:29)
at process.processImmediate (node:internal/timers:485:21)

Node.js v22.16.0
```
↳ ✅ `uint8`: `model_uint8.onnx` (added)
↳ ✅ `q4`: `model_q4.onnx` (added)
↳ ✅ `q4f16`: `model_q4f16.onnx` (added)
↳ ✅ `bnb4`: `model_bnb4.onnx` (added)

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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+oid sha256:dd61222b6e990838cebaa82d1c78be614e528fd11d577bf997ec17af3c187fa9
+size 168027790

onnx/model_q4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe5a0c22a672537ee71f5ba6060a44be626c30a6ab570b97fb615699cdde3591
+size 174887416

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e6fe5ca21b0393f57ab3ee955311f07443c219314d85e378473c98e0f7dec6d
+size 115520184

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddbb836e96a8ad6f17035001a9d44e75fc03523a131c9b129dea74226854d4c5
+size 138145412