diff --git a/README.md b/README.md
index 358e377..e31f145 100644
--- a/README.md
+++ b/README.md
@@ -86,12 +86,15 @@ YOLOv8 may also be used directly in a Python environment, and accepts the same [
```python
from ultralytics import YOLO
-model = YOLO("yolov8n.pt") # load a pretrained YOLOv8n model
-
-model.train(data="coco128.yaml") # train the model
-model.val() # evaluate model performance on the validation set
-model.predict(source="https://ultralytics.com/images/bus.jpg") # predict on an image
-model.export(format="onnx") # export the model to ONNX format
+# Load a model
+model = YOLO("yolov8n.yaml") # build a new model from scratch
+model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
+
+# Use the model
+results = model.train(data="coco128.yaml", epochs=3) # train the model
+results = model.val() # evaluate model performance on the validation set
+results = model("https://ultralytics.com/images/bus.jpg") # predict on an image
+success = YOLO("yolov8n.pt").export(format="onnx") # export a model to ONNX format
```
[Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/yolo/v8/models) download automatically from the latest
@@ -204,7 +207,7 @@ We love your input! YOLOv5 and YOLOv8 would not be possible without help from ou
-
+
## License