diff --git a/README.md b/README.md index 9729982c..eb8aafc6 100644 --- a/README.md +++ b/README.md @@ -68,17 +68,17 @@ python app.py ## Validation [`yolov10n`](https://huggingface.co/jameslahm/yolov10n) [`yolov10s`](https://huggingface.co/jameslahm/yolov10s) [`yolov10m`](https://huggingface.co/jameslahm/yolov10m) [`yolov10b`](https://huggingface.co/jameslahm/yolov10b) [`yolov10l`](https://huggingface.co/jameslahm/yolov10l) [`yolov10x`](https://huggingface.co/jameslahm/yolov10x) ``` -wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10s.pt -yolo val model=yolov10n/s/m/b/l/x.pt data=coco.yaml batch=256 +yolo val model=jameslahm/yolov10{n/s/m/b/l/x} data=coco.yaml batch=256 ``` Or ```python from ultralytics import YOLOv10 -model = YOLOv10('yolov10{n/s/m/b/l/x}.pt') -# or model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}') +# or +# wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10{n/s/m/b/l/x}.pt +model = YOLOv10('yolov10{n/s/m/b/l/x}.pt') model.val(data='coco.yaml', batch=256) ``` @@ -96,9 +96,10 @@ from ultralytics import YOLOv10 model = YOLOv10() # If you want to finetune the model with pretrained weights, you could load the # pretrained weights like below -# model = YOLOv10('yolov10{n/s/m/b/l/x}.pt') -# or # model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}') +# or +# wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10{n/s/m/b/l/x}.pt +# model = YOLOv10('yolov10{n/s/m/b/l/x}.pt') model.train(data='coco.yaml', epochs=500, batch=256, imgsz=640) ``` @@ -118,16 +119,17 @@ model.push_to_hub("