code: def init():
      class MyModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.linear = torch.nn.Linear(1, 2)
  
          def forward(self, x):
              return self.linear(x)
  
      model = MyModule().to("cuda")
      peft.get_peft_model(
          model, peft.LoraConfig(target_modules=["linear"])
      )
  
imports: import torch
  import peft
  from accelerate import notebook_launcher
label_desc: Use image node_id 1 for calling a global function with example usage: init() and returns: self