code: def add_model_specific_args(parent_parser):
      parser = parent_parser.add_argument_group("LitModel")
      parser.add_argument(
          "--lr",
          type=float,
          default=1e-3,
          help="Learning rate for the Adam optimizer",
      )
      return parent_parser
  
file_path: guildai/examples/pytorch-lightning/mnist.py
imports: import os
  import argparse
  import torch
  from torch import nn
  from torch.nn import functional
  from torch.optim import Adam
  from torch.utils.data import DataLoader, random_split
  from torchvision import datasets, transforms
  from torchvision.datasets import MNIST
  from pytorch_lightning import Trainer
  from pytorch_lightning.core.lightning import LightningModule
label_desc: Use image node_id 5 for calling the LitMNIST obj's underlying member method code with example usage: obj.add_model_specific_args(parent_parser) and returns: parent_parser