diff --git a/intermediate_source/torchrec_intro_tutorial.py b/intermediate_source/torchrec_intro_tutorial.py
index 70b2a5b4725..75d2532670e 100644
--- a/intermediate_source/torchrec_intro_tutorial.py
+++ b/intermediate_source/torchrec_intro_tutorial.py
@@ -919,6 +919,7 @@ def _wait_impl(self) -> torch.Tensor:
 # the trained model in a Python environment is incredibly inefficient.
 # There are two key differences between inference and training
 # environments:
+# 
 # * **Quantization**: Inference models are typically
 #   quantized, where model parameters lose precision for lower latency in
 #   predictions and reduced model size. For example FP32 (4 bytes) in