code: def model(c: Configs):
      return Model().to(c.device)
  
imports: import torch.nn
  import torch.utils.data
  from labml_helpers.module import Module
  from labml import experiment, tracker
  from labml.configs import option
  from labml_helpers.datasets.mnist import MNISTConfigs
  from labml_helpers.device import DeviceConfigs
  from labml_helpers.metrics.accuracy import Accuracy
  from labml_helpers.seed import SeedConfigs
  from labml_helpers.train_valid import TrainValidConfigs, BatchIndex, hook_model_outputs
  from labml_nn.optimizers.configs import OptimizerConfigs
label_desc: Use image node_id 1 for calling a global function with example usage: model(c) and returns: Model