Transfer learning with different size

I have two questions. The first one: is there a way to do transfer learning on a 1d sequence using convnets(conv1d) in general (and then in PyTorch)?
I have some weird images whose size is (58,1500). I would like to apply transfer learning but I don’t know what how should I deal with 58 ? Thank you!