code: def get_vanilla_model():
      return NeuralNetClassifier(
          MyModule,
          criterion=nn.CrossEntropyLoss,
          max_epochs=3,
          lr=0.001,
      )
  
imports: import numpy
  import torch
  from accelerate import Accelerator
  from sklearn.datasets import make_classification
  from sklearn.metrics import accuracy_score
  from torch import nn
  from torch.distributed import TCPStore
  from skorch import NeuralNetClassifier
  from skorch.hf import AccelerateMixin
  from skorch.history import DistributedHistory
label_desc: Use image node_id 2 for calling a global function with example usage: get_vanilla_model() and returns: NeuralNetClassifier