Update README.md

README.md

@@ -116,14 +116,12 @@ outputs = pipeline(
 print(outputs[0]["generated_text"][-1]['content'])
 ````
 
+We have added [a simple transformer-based script](https://huggingface.co/nvidia/OpenReasoning-Nemotron-1.5B/blob/main/genselect_hf.py) in this repo to illustrate GenSelect.  
 To learn how to use the models in GenSelect mode see our [documentation](https://nvidia.github.io/NeMo-Skills/releases/openreasoning/evaluation/).
 
 To use the model with GenSelect inference, we recommend following our 
-[reference implementation in NeMo-Skills](https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/pipeline/genselect.py). 
-Alternatively, you can manually extract the summary from all solutions and use this 
-[prompt](https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/prompt/config/openmath/genselect.yaml) for the math problems. 
-We have added [a simple transformer-based script](https://huggingface.co/nvidia/OpenReasoning-Nemotron-1.5B/blob/main/genselect_hf.py) in this repo to illustrate GenSelect.  
-We will add the prompt we used for the coding problems and a reference implementation soon!
+[reference implementation in NeMo-Skills](https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/pipeline/genselect.py). Alternatively, you can manually extract the summary from all solutions and use this 
+[prompt](https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/prompt/config/openmath/genselect.yaml) for the math problems. We will add the prompt we used for the coding problems and a reference implementation soon!
 
 You can learn more about GenSelect in these papers:
 * [AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset](https://arxiv.org/abs/2504.16891)