code: def load_model_weights(path: str):
      model_weights = np.load(path)
      return model_weights["weights"], model_weights["biases"]
  
file_path: generative-models/scripts/util/detection/nsfw_and_watermark_dectection.py
imports: import os
  import clip
  import numpy
  import torch
  import torchvision.transforms
  from PIL import Image
label_desc: Use image node_id 2 for calling a global function with example usage: load_model_weights(path) and returns: model_weights,  model_weights