code: def create_model(ckpt, fp16=True):
      if fp16:
          return CodeGenForCausalLM.from_pretrained(
              ckpt,
              revision="float16",
              torch_dtype=torch.float16,
              low_cpu_mem_usage=True,
          )
      else:
          return CodeGenForCausalLM.from_pretrained(ckpt)
  
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 5 for calling a global function with example usage: create_model(ckpt, fp16) and returns: CodeGenForCausalLM, CodeGenForCausalLM