code: def inference_args(parser: argparse.ArgumentParser):
      """Add inference specific arguments for Transoformer based models"""
      parser.add_argument(
          "--model_path",
          default=None,
          type=str,
          required=True,
          help="Path to pre-trained model",
      )
      parser.add_argument(
          "--load_quantized_model",
          action="store_true",
          help="Load and perform Inference from saved quantized model,\
                          'quant_pytorch_model.bin' file must exist in directory and model\
                               type must be 'quant_<model>'",
      )
  
imports: import argparse
  from nlp_architect.models.transformers.base_model import get_models
label_desc: Use image node_id 2 for calling a global function with example usage: inference_args(parser) without return types