Update README.md

README.md

@@ -14,8 +14,6 @@ pipeline_tag: object-detection
 
 🤗 Live Demo here: [https://huggingface.co/spaces/omoured/YOLOv10-Document-Layout-Analysis](https://huggingface.co/spaces/omoured/YOLOv10-Document-Layout-Analysis)
 
-![GitHub](https://img.icons8.com/ios-glyphs/30/000000/github.png) Check out our Github repo for inference codes: [https://github.com/moured/YOLOv10-Document-Layout-Analysis](https://github.com/moured/YOLOv10-Document-Layout-Analysis) 
-
 <!-- ABOUT THE PROJECT -->
 ## About 📋
 
@@ -35,15 +33,9 @@ The models were fine-tuned using 4xA100 GPUs on the Doclaynet-base dataset, whic
 | YOLOv10-s | 0.905 | 0.713 | [Download](https://github.com/moured/YOLOv10-Document-Layout-Analysis/releases/download/doclaynet_weights/yolov10s_best.pt) | 
 | YOLOv10-n | 0.892 | 0.685 | [Download](https://github.com/moured/YOLOv10-Document-Layout-Analysis/releases/download/doclaynet_weights/yolov10n_best.pt) |
 
-### Installation 💻
-```
-conda create -n yolov10 python=3.9
-conda activate yolov10
-git clone https://github.com/THU-MIG/yolov10.git
-cd yolov10
-pip install -r requirements.txt
-pip install -e .
-```
+## Codes 🔥
+
+Check out our Github repo for inference codes: [https://github.com/moured/YOLOv10-Document-Layout-Analysis](https://github.com/moured/YOLOv10-Document-Layout-Analysis) 
 
 ## References 📝