Thank you for your work!
When I use "load_for_transfer_learning(model, /path/to/pretrained/weights, use_ema=True, strict=False, num_classes=1000)" to change the num_classes, the size of output is still 1000. So what should I do when I want to change the final layer of t2t-vit to deal with different datasets?
Thank you for your work! When I use "load_for_transfer_learning(model, /path/to/pretrained/weights, use_ema=True, strict=False, num_classes=1000)" to change the num_classes, the size of output is still 1000. So what should I do when I want to change the final layer of t2t-vit to deal with different datasets?