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 '/dinov2/embeddings/patch_embeddings/projection/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/dinov2-base-imagenet1k-1-layer with ONNX weights
 
 ## 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 classification w/ `Xenova/dinov2-base-imagenet1k-1-layer`.
 
 ```javascript
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 // Create image classification pipeline
 const classifier = await pipeline('image-classification', 'Xenova/dinov2-base-imagenet1k-1-layer', { quantized: false });
@@ -23,7 +23,7 @@ const classifier = await pipeline('image-classification', 'Xenova/dinov2-base-im
 // Classify an image
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
 const output = await classifier(url);
-console.log(output)
+console.log(output);
 // [{ label: 'tabby, tabby cat', score: 0.4475940465927124 }]
 ```
 

onnx/model_bnb4.onnx

@@ -0,0 +1,3 @@
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+oid sha256:d2cd000620140b64e33b704e59ebb9a9e2d413be1802636b6d89419d898ea538
+size 57291181

onnx/model_q4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc8df78195990829314eb438f3c47008a6c896fb728092e892dce5b09e285cca
+size 62599069

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03118bdfb86c3394e70f4014de170ca71f3f514088640b28cbd395073d97b13e
+size 52636289

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e442d72138685c2fcaec4167f9f86f178cfa223c708617b1e55464b881ebdc7c
+size 88568744