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/[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 '/owlvit/vision_model/embeddings/patch_embedding/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)

### ❌ 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/[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 '/owlvit/vision_model/embeddings/patch_embedding/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

@@ -9,14 +9,14 @@ https://huggingface.co/google/owlvit-base-patch32 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:** Zero-shot object detection w/ `Xenova/owlvit-base-patch32`.
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlvit-base-patch32');
 
@@ -36,13 +36,13 @@ const output = await detector(url, candidate_labels);
 
 **Example:** Zero-shot object detection w/ `Xenova/owlvit-base-patch32` (additional parameters).
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlvit-base-patch32');
 
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/beach.png';
 const candidate_labels = ['hat', 'book', 'sunglasses', 'camera'];
-const output = await detector(url, candidate_labels, { topk: 4, threshold: 0.05 });
+const output = await detector(url, candidate_labels, { top_k: 4, threshold: 0.05 });
 // [
 //   { score: 0.1606510728597641, label: 'sunglasses', box: { xmin: 347, ymin: 229, xmax: 429, ymax: 264 } },
 //   { score: 0.08935828506946564, label: 'hat', box: { xmin: 38, ymin: 174, xmax: 258, ymax: 364 } },

onnx/model_bnb4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd2cdf5a167e2ef808764a7d35563adf51ca00f8b51ce10d1e7c3c47de792ca2
+size 183948525

onnx/model_q4.onnx

@@ -0,0 +1,3 @@
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+oid sha256:d8588092fea3ef14a2067485a44d78b9f9801e4a153421972356613abeac73a8
+size 191730057

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:259c628beee565a1e5f495145b5e1f6839bdf9e209d989d866dd0328f05bb6a0
+size 127312570

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b597d1fc9ebf7c149b66c999280253bf9ba585b581f41e25a5b73d7cebf6a598
+size 155621034