code: def get_configs(model_name: str = None, **kwargs) -> Dict:
      configs = dict(visual_prompt_type="Transf", num_frames=8)
      configs.update(**kwargs)
      if model_name == "clip_vit_b16":
          configs.update(num_frames=8)
      elif model_name == "clip_vit_b32":
          configs.update(num_frames=8)
      return configs
  
imports: from collections import OrderedDict
  from typing import Dict
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: get_configs(model_name) and returns: configs