code: def cast(model, fp16=True):
      if fp16:
          model.half()
      return model
  
imports: import argparse
  import json
  import os
  from pathlib import Path
  import random
  from time import time
  import torch
  from transformers import GPT2TokenizerFast
  from jaxformer.hf.codegen.modeling_codegen import CodeGenForCausalLM
label_desc: Use image node_id 3 for calling a global function with example usage: cast(model, fp16) and returns: model