the overall goal I have is to choose latest pretrained models and use them on my dataset and compare all of them. Looks like this tutorial covers what I am trying to do usehttps://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html
except I want to use  the best performing version of the model for the models having more than one version. Looks like we can also cite this webpage on our paper. I’ll reimplement all transfer learning section then come back here and update this thread. Hopefully find a solution.