code: def __init__(
      self,
      criterion=torch.nn.CrossEntropyLoss,
      clip=0.25,
      lr=20,
      ntokens=10000,
      *args,
      **kwargs,
  ):
      self.clip = clip
      self.ntokens = ntokens
      super(Net, self).__init__(
          criterion=criterion, lr=lr, *args, **kwargs
      )
  
file_path: skorch/examples/word_language_model/net.py
imports: import skorch
  import numpy
  import torch
  from torch.autograd import Variable
  from sklearn.metrics import f1_score
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: skorch with example: obj = Net(criterion, clip, lr, ntokens)