Update(auto commit)

Author: xta0

HelloWorld-CoreML/README.md

@@ -7,7 +7,7 @@
 
 HelloWorld-CoreML is a simple image classification application that demonstrates how to use PyTorch C++ libraries with Core ML support. The code is written in Swift and uses Objective-C as a bridge.
 
-The example has already attached a PyTorch GPU model in "HelloWorld-CoreML/model/mobilenetv2_coreml.pt". If you would like to learn more about how to prepare a PyTorch CoreML model and run it in your apps, please refer to the tutorial [Convert Mobilenetv2 to Core ML](https://pytorch.org/tutorials/prototype/ios_coreml_workflow.html). 
+The example has already attached a PyTorch Core ML model in "HelloWorld-CoreML/model/mobilenetv2_coreml.pt". If you would like to learn more about how to prepare a PyTorch Core ML model and run it in your apps, please refer to the tutorial [Convert Mobilenetv2 to Core ML](https://pytorch.org/tutorials/prototype/ios_coreml_workflow.html). 
 
 ### Install LibTorch-Lite-Nightly via Cocoapods
 
@@ -16,4 +16,4 @@ The PyTorch C++ library with Core ML support is available in [Cocoapods](https:/
 ```ruby
 pod update
 ```
-Now open the `HelloWorld.xcworkspace` in XCode, select your device and launch it (cmd + R). If everything works well, we should see a wolf picture on the simulator screen along with the prediction results.
+Now open the `HelloWorld.xcworkspace` in XCode, select your device and launch it (cmd + R). If everything works well, you should see a wolf picture on the simulator screen along with the prediction results.