The notebooks are written in Python and include links to the training dataset as well as references to the original paper that describes the model architecture.
Ye:Br t,No e,3 }function Wa t,e {return gs t? To get started, pick any model presented above with the link under the Description column.
Accompanying each model are for model training and running inference with the trained model.