Hello,
l have stored my best model where the network is as follow
net
My_Net(
  (cl1): Linear(in_features=25, out_features=6, bias=True)
  (cl2): Linear(in_features=60, out_features=16, bias=True)
  (fc1): Linear(in_features=16, out_features=120, bias=True)
  (fc2): Linear(in_features=120, out_features=84, bias=True)
  (fc3): Linear(in_features=84, out_features=10, bias=True)
)

To load my best model, l did the following :
my_best_model = torch.load('path to best model')
my_model.keys()
dict_keys(['epoch', 'state_dict', 'best_prec1', 'optimizer'])

What l would like to do ?
How can load and use my_best_model as :

Feature extractor ?
Evaluator on new examples ?

Thank you