Update README.md

README.md

@@ -5,7 +5,7 @@ base_model:
 pipeline_tag: object-detection
 ---
 
-## YOLOv11-Face-Detection
+## YOLOv11n-Face-Detection
 
 A lightweight face detection model based on YOLO architecture ([YOLOv11 nano](https://huggingface.co/Ultralytics/YOLO11)), trained for 225 epochs on the WIDERFACE dataset.
 
@@ -23,7 +23,7 @@ It achieves the following results on the evaluation set:
 from huggingface_hub import hf_hub_download
 from ultralytics import YOLO
 
-model_path = hf_hub_download(repo_id="AdamCodd/YOLOv11-face-detection", filename="model.pt")
+model_path = hf_hub_download(repo_id="AdamCodd/YOLOv11n-face-detection", filename="model.pt")
 model = YOLO(model_path)
 
 results = model.predict("/path/to/your/image", save=True) # saves the result in runs/detect/predict