Apply suggestions from code review

Co-authored-by: Jacky <[email protected]>

Author: tanmayv25

README.md

@@ -184,7 +184,7 @@ inputs. Each inference thread invokes a JIT interpreter that executes the ops
 of a model inline, one by one. This parameter sets the size of this thread
 pool. The default value of this setting is the number of cpu cores. Please refer
 to [this](https://pytorch.org/docs/stable/notes/cpu_threading_torchscript_inference.html)
-document for learning how to set this parameter properly.
+document on how to set this parameter properly.
 
 The section of model config file specifying this parameter will look like:
 
@@ -204,7 +204,7 @@ within the ops (intra-op parallelism). This can be useful in many cases, includi
 element-wise ops on large tensors, convolutions, GEMMs, embedding lookups and
 others. The default value for this setting is the number of CPU cores. Please refer
 to [this](https://pytorch.org/docs/stable/notes/cpu_threading_torchscript_inference.html)
-document for learning how to set this parameter properly.
+document on how to set this parameter properly.
 
 The section of model config file specifying this parameter will look like: