code: def get_transforms(model_name: str) -> torchvision.transforms.Compose:
      pixels = {}
      pixels["clip_resnet_r50"] = 224
      pixels["clip_resnet_r101"] = 224
      pixels["clip_vit_b16"] = 224
      pixels["clip_vit_b32"] = 224
      pixels["clip_resnet_r50x4"] = 288
      pixels["clip_resnet_r50x16"] = 384
      pixels["clip_resnet_r50x64"] = 448
      pixels["clip_vit_l14"] = 224
      pixels["clip_vit_l14@336px"] = 336
      return _transform(pixels[model_name])
  
file_path: towhee/towhee/models/clip/clip_utils.py
imports: from typing import Union, List, Dict
  from pkg_resources import packaging
  from torchvision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
  from torchvision.transforms import InterpolationMode
  import torch
  import torchvision
  from torch import nn
  from .simple_tokenizer import SimpleTokenizer
label_desc: Use image node_id 4 for calling a global function with example usage: get_transforms(model_name) and returns: _transform