Fix spelling errors

ROCm · Jan 8, 2024 · b1d278b · b1d278b
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diff --git a/docs/how-to/3rd-party/pytorch-install.rst b/docs/how-to/3rd-party/pytorch-install.rst
@@ -170,7 +170,7 @@ Using the PyTorch ROCm base Docker image
 The pre-built base Docker image has all dependencies installed, including:
 
 * ROCm
-* Torchvision
+* torchvision
 * Conda packages
 * The compiler toolchain
 
@@ -252,7 +252,7 @@ using scripts from the PyTorch repository. This uses a standard Docker image fro
 maintainers and installs all the required dependencies, including:
 
 * ROCm
-* Torchvision
+* torchvision
 * Conda packages
 * The compiler toolchain
 
@@ -351,7 +351,7 @@ Testing the PyTorch installation
 ===============================================================
 
 You can use PyTorch unit tests to validate your PyTorch installation. If you used a
-**prebuilt PyTorch Docker image from AMD ROCm DockerHub** or installed an
+**prebuilt PyTorch Docker image from AMD ROCm Docker Hub** or installed an
 **official wheels package**, validation tests are not necessary.
 
 If you want to manually run unit tests to validate your PyTorch installation fully, follow these steps:

diff --git a/docs/how-to/amdgpu-install.rst b/docs/how-to/amdgpu-install.rst
@@ -127,7 +127,7 @@ Installing ROCm packages
 =================================================
 
 To install use cases specific to your requirements, use the installer
-amdgpu-install as follows:
+``amdgpu-install`` as follows:
 
 - To install a single use case add it with the :code:`--usecase` option: