I have tried to put two different classifiers like this:
(classifier): Sequential(
    (0): Sequential(
      (0): Linear(in_features=1280, out_features=512, bias=True)
      (1): Tanh()
      (2): Linear(in_features=512, out_features=256, bias=True)
      (3): Tanh()
      (4): Linear(in_features=256, out_features=128, bias=True)
      (5): Tanh()
      (6): Linear(in_features=128, out_features=200, bias=True)
    )
    (1): Sequential(
      (0): Linear(in_features=1280, out_features=512, bias=True)
      (1): Tanh()
      (2): Linear(in_features=512, out_features=256, bias=True)
      (3): Tanh()
      (4): Linear(in_features=256, out_features=128, bias=True)
      (5): Tanh()
      (6): Linear(in_features=128, out_features=29, bias=True)
    )
  )

How I can skip  classifier[0]  or  classifier[1]  during training the model?