Fix more markdown violations

README.md

@@ -4,7 +4,7 @@ AMD MIGraphX is AMD's graph inference engine, which accelerates machine learning
 To use MIGraphX, you can install the binaries or build from source code. Refer to the following sections
 for Ubuntu installation instructions (we'll provide instructions for other Linux distributions in the future).
 
-> [!NOTE] 
+> [!NOTE]
 > You must [install ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) before
 > installing MIGraphX.
 

examples/README.md

@@ -1,9 +1,11 @@
 # AMD MIGraphX Examples
 
 ## Description
-This directory contains examples of common use cases for MIGraphX. 
 
-## Examples:
+This directory contains examples of common use cases for MIGraphX.
+
+## Examples
+
 - [MIGraphX usage and utilities](./migraphx)
 - [Vision inference examples](./vision)
 - [Natural language inference examples](./nlp)

examples/diffusion/python_stable_diffusion_21/README.md

@@ -35,13 +35,15 @@ Get models with optimum
 ```bash
 optimum-cli export onnx --model stabilityai/stable-diffusion-2-1 models/sd21-onnx
 ```
+
 *Note: `models/sd21-onnx` will be used in the scripts.*
 
 Run the text-to-image script with the following example prompt and seed:
 
 ```bash
 python txt2img.py --prompt "a photograph of an astronaut riding a horse" --seed 13 --output astro_horse.jpg
 ```
+
 *Note: The first run will compile the models and cache them to make subsequent runs faster.*
 
 The result should look like this:

examples/migraphx/migraphx_driver/README.md

@@ -285,7 +285,7 @@ unsqueeze
 </details>
 <br/><br/>
 
-##### Example: params
+### Example: params
 
 ```
 /opt/rocm/bin/migraphx-driver params simple_graph.pb 

examples/transformers/python_llama2/README.md

@@ -40,6 +40,7 @@ Get models with optimum
 ```bash
 optimum-cli export onnx --model meta-llama/Llama-2-7b-chat-hf models/llama-2-7b-chat-hf --task text-generation --framework pt --library transformers --no-post-process
 ```
+
 *Note: `models/llama-2-7b-chat-hf` will be used in the scripts.*
 
 Run the text-generation script with the following example prompt:
@@ -50,7 +51,6 @@ python txtgen.py --prompt "Where is Szeged?" --log-process
 
 *Note: The first run will compile the models and cache them to make subsequent runs faster.*
 
-
 ## Gradio application
 
 Note: requires `Console application` to work

examples/transformers/python_whisper/README.md

@@ -60,7 +60,6 @@ python asr.py --audio audio/sample1.flac --log-process
 
 Or without any audio input to run the [Hugging Face dummy dataset](https://huggingface.co/datasets/hf-internal-testing/librispeech_asr_dummy) samples.
 
-
 ## Gradio application
 
 Note: requires `Console application` to work

examples/vision/README.md

@@ -5,4 +5,4 @@
 - [Python Super Resolution](./python_super_resolution)
 - [Python NFNet](./python_nfnet)
 - [Python U-Net](./python_unet)
-- [Python 3D-UNet](./python_3dunet)
+- [Python 3D-UNet](./python_3dunet)