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

## Applied Quantizations

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

↳ ❌ `int8`: `model_int8.onnx` (added but JS-based E2E test failed)
```
/home/ubuntu/src/tjsmigration/node_modules/.pnpm/[email protected]/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 '/convnext/embeddings/patch_embeddings/Conv_quant'
at new OnnxruntimeSessionHandler (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/[email protected]/node_modules/onnxruntime-node/dist/backend.js:25:92)
at Immediate.<anonymous> (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/[email protected]/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

@@ -7,15 +7,15 @@ https://huggingface.co/facebook/convnext-large-224-22k 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:** Perform image classification with `Xenova/convnext-large-224-22k`.
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 // Create image classification pipeline
 const classifier = await pipeline('image-classification', 'Xenova/convnext-large-224-22k');
@@ -23,7 +23,7 @@ const classifier = await pipeline('image-classification', 'Xenova/convnext-large
 // Classify an image
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
 const output = await classifier(url);
-console.log(output)
+console.log(output);
 ```
 
 ---

onnx/model_bnb4.onnx

@@ -0,0 +1,3 @@
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+size 271800129

onnx/model_q4.onnx

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+oid sha256:32ec24e3c8694ff57aa93931243fcfa2cfeeb447f1f6c89aae6d21823fa51d6b
+size 283577616

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
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+oid sha256:2afa88b5f7de4945fa34ee14a9a098749f9f2061e56a1d9063ef19c47fe4e6c4
+size 189097353

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:830374d8382973b825b446d475644939c7dd94d223f461c7532e1f8b6872b616
+size 231205486