The DINO v1/v2 models are particularly interesting to me as they produce embeddings for the detected objects rather than ordinary classification indexes. That makes them so much more useful than the CNN based models.
I would like to prepare some of the models posted on Huggingface to run on Apple Silicon, but it seems that the default conversion with TorchScript will not work. The other default conversions I've looked at so far also don't work. Conversion based on an example input doesn't capture enough of the model.
I know that some have managed to convert it as I have a demo with a coreml model that seems to work, but I would like to know how to do the conversion myself.
Has anyone managed to convert any of the DINOv2 models?