Address comments

Author: Thiago Crepaldi

advanced_source/super_resolution_with_onnxruntime.py

@@ -1,6 +1,6 @@
 """
 (optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime
-========================================================================
+===================================================================================
 
 .. Note::
     As of PyTorch 2.1, there are two versions of ONNX Exporter.
@@ -23,9 +23,10 @@
 and `ONNX Runtime <https://github.com/microsoft/onnxruntime>`__.
 You can get binary builds of ONNX and ONNX Runtime with
 
- .. code-block:: bash
-     %%bash
-     pip install onnxruntime
+.. code-block:: bash
+
+   %%bash
+   pip install onnxruntime
 
 ONNX Runtime recommends using the latest stable runtime for PyTorch.
 
@@ -195,7 +196,7 @@ def _initialize_weights(self):
 
 import onnxruntime
 
-ort_session = onnxruntime.InferenceSession("super_resolution.onnx", providers=['CPUExecutionProvider'])
+ort_session = onnxruntime.InferenceSession("super_resolution.onnx", providers=["CPUExecutionProvider"])
 
 def to_numpy(tensor):
     return tensor.detach().cpu().numpy() if tensor.requires_grad else tensor.cpu().numpy()