code: def convert_orig_tf1_checkpoint_to_pytorch(
      tf_checkpoint_path, convbert_config_file, pytorch_dump_path
  ):
      conf = ConvBertConfig.from_json_file(convbert_config_file)
      model = ConvBertModel(conf)
  
      model = load_tf_weights_in_convbert(
          model, conf, tf_checkpoint_path
      )
      model.save_pretrained(pytorch_dump_path)
  
      tf_model = TFConvBertModel.from_pretrained(
          pytorch_dump_path, from_pt=True
      )
      tf_model.save_pretrained(pytorch_dump_path)
  
imports: import argparse
  from transformers import ConvBertConfig, ConvBertModel, TFConvBertModel, load_tf_weights_in_convbert
  from transformers.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: convert_orig_tf1_checkpoint_to_pytorch(tf_checkpoint_path, convbert_config_file, pytorch_dump_path) without return types