Basically do the following:
Take an image as an input.
Output a list of possible classes and their probabilities as output:
Without doing any training (basically using the pretrained Imagenet models)
I know how to do that in Keras, example here.
Is there any way to achieve THE EXACT SAME RESULTS as above using Pytorch or Fast.ai?