For more detailed guidance and advanced configuration options, please refer to the PyTorch MPS documentation.
While leveraging the computational power of the M1/M2 chips, this enables more efficient processing of the training tasks. # Start training from a pretrained *.pt model using GPUs 0 and 1 yolo detect train data =coco128.yaml model =yolov8n.pt epochs = 100 imgsz = 640 device =mps