Update README.md

README.md

@@ -66,7 +66,7 @@ You can use the raw model for super resolution. See the [model hub](https://hugg
 - Code snippet from [`infer_onnx.py`](infer_onnx.py) on how to use
 ```python
     parser = argparse.ArgumentParser(description='RCAN SISR')
-    parser.add_argument('--onnx_path', type=str, default='RCAN_int8.onnx',
+    parser.add_argument('--onnx_path', type=str, default='RCAN_int8_NHWC.onnx',
                     help='onnx path')
     parser.add_argument('--image_path', default='test_data/test.png',
                     help='path of your image')
@@ -98,12 +98,12 @@ You can use the raw model for super resolution. See the [model hub](https://hugg
 
  - Run inference for a single image
   ```python
-  python infer_onnx.py --onnx_path RCAN_int8.onnx --image_path /Path/To/Your/Image --ipu --provider_config Path/To/vaip_config.json
+  python infer_onnx.py --onnx_path RCAN_int8_NHWC.onnx --image_path /Path/To/Your/Image --ipu --provider_config Path/To/vaip_config.json
   ```
 
  - Test accuracy of the quantized model
   ```python
-  python eval_onnx.py --onnx_path RCAN_int8.onnx --data_test Set5 --ipu --provider_config Path/To/vaip_config.json 
+  python eval_onnx.py --onnx_path RCAN_int8_NHWC.onnx --data_test Set5 --ipu --provider_config Path/To/vaip_config.json 
   ```
 ### Performance