Updating README.md

README.md

@@ -90,7 +90,7 @@ The models are also available via torch hub, to load `yolov5s` with pretrained w
 model = torch.hub.load('zhiqwang/yolov5-rt-stack', 'yolov5s', pretrained=True)
 ```
 
-### Loading checkpoint from ultralytics/yolov5
+### Loading checkpoint from official yolov5
 
 The module state of `yolort` has some differences comparing to `ultralytics/yolov5`. We can load ultralytics's trained model checkpoint with minor changes, and we have converted ultralytics's release [v3.1](https://github.com/ultralytics/yolov5/releases/tag/v3.1) and [v4.0](https://github.com/ultralytics/yolov5/releases/tag/v4.0). And now we supply an interface to load the checkpoint weights trained with `ultralytics/yolov5` as follows. See our [how-to-align-with-ultralytics-yolov5](http://github.com/zhiqwang/yolov5-rt-stack/blob/master/notebooks/how-to-align-with-ultralytics-yolov5.ipynb) notebook for more details.