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

## Applied Quantizations

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

```
0%| | 0/1 [00:00<?, ?it/s]
Processing /tmp/tmpkb5pkodn/model.onnx: 0%| | 0/1 [00:00<?, ?it/s]

0%| | 0/5 [00:00<?, ?it/s]

- Quantizing to int8: 0%| | 0/5 [00:00<?, ?it/s]2025-08-18 09:34:34,065 root [INFO] - Quantization parameters for tensor:"pixel_values" not specified
2025-08-18 09:34:34,072 root [INFO] - Quantization parameters for tensor:"/segformer/encoder/block.0.0/layer_norm_1/Add_1_output_0" not specified

- Quantizing to int8: 0%| | 0/5 [00:01<?, ?it/s]

Processing /tmp/tmpkb5pkodn/model.onnx: 0%| | 0/1 [00:01<?, ?it/s]
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 377, in <module>
main()
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 374, in main
quantize(input_folder, output_folder, quantization_args)
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 359, in quantize
quantize_q8(
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 196, in quantize_q8
quantizer.quantize_model()
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnxruntime/quantization/onnx_quantizer.py", line 211, in quantize_model
op_quantizer.quantize()
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnxruntime/quantization/operators/base_operator.py", line 21, in quantize
dequantize_node = self.quantizer._dequantize_value(node_input)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnxruntime/quantization/onnx_quantizer.py", line 945, in _dequantize_value
assert onnx.numpy_helper.to_array(scale_init).size == 1
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnx/numpy_helper.py", line 349, in to_array
elem_type = tensor.data_type
^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'data_type'
```

### ❌ Based on `model.onnx` *without* slimming

```
0%| | 0/1 [00:00<?, ?it/s]
Processing /tmp/tmpybtwzvta/model.onnx: 0%| | 0/1 [00:00<?, ?it/s]

0%| | 0/5 [00:00<?, ?it/s]

- Quantizing to int8: 0%| | 0/5 [00:00<?, ?it/s]2025-08-18 09:34:38,910 root [INFO] - Quantization parameters for tensor:"pixel_values" not specified
2025-08-18 09:34:38,918 root [INFO] - Quantization parameters for tensor:"/segformer/encoder/block.0.0/layer_norm_1/Add_1_output_0" not specified

- Quantizing to int8: 0%| | 0/5 [00:02<?, ?it/s]

Processing /tmp/tmpybtwzvta/model.onnx: 0%| | 0/1 [00:02<?, ?it/s]
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 377, in <module>
main()
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 374, in main
quantize(input_folder, output_folder, quantization_args)
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 359, in quantize
quantize_q8(
File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 196, in quantize_q8
quantizer.quantize_model()
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnxruntime/quantization/onnx_quantizer.py", line 211, in quantize_model
op_quantizer.quantize()
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnxruntime/quantization/operators/base_operator.py", line 21, in quantize
dequantize_node = self.quantizer._dequantize_value(node_input)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnxruntime/quantization/onnx_quantizer.py", line 945, in _dequantize_value
assert onnx.numpy_helper.to_array(scale_init).size == 1
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ubuntu/.cache/uv/archive-v0/cQ6A7vyzEBQhtbSuz6CnD/lib/python3.12/site-packages/onnx/numpy_helper.py", line 349, in to_array
elem_type = tensor.data_type
^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'data_type'
```

README.md

@@ -8,15 +8,15 @@ https://huggingface.co/jonathandinu/face-parsing with ONNX weights to be compati
 
 ## 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:** Face segmentation with `Xenova/face-parsing`.
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 const segmenter = await pipeline('image-segmentation', 'Xenova/face-parsing');