OK, in that case you could try to swap all 2d layers for 3d ones, e.g. nn.Conv2d for nn.Conv3d.
This approach would reinitialize the model with random parameters.
If you are planning on using the pretrained parameters, you would have to think about a valid approach how to expand to the depth dimension.