code: def copy_text_model_and_projection(hf_model, pt_model):
      # copy projection
      hf_model.text_projection.weight.data = (
          pt_model.text_projection.data.T
      )
  
      # copy text encoder
      copy_encoder(hf_model.text_model, pt_model)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py
imports: import argparse
  import torch
  from clip import load
  from transformers import CLIPConfig, CLIPModel
label_desc: Use image node_id 7 for calling a global function with example usage: copy_text_model_and_projection(hf_model, pt_model) without return types