code: def _load_model(input_file, dict_dir):
      import fairseq
  
      overrides = {} if dict_dir is None else {"data": dict_dir}
      (
          models,
          _,
          _,
      ) = fairseq.checkpoint_utils.load_model_ensemble_and_task(
          [input_file],
          arg_overrides=overrides,
      )
      return models[0]
  
imports: import argparse
label_desc: Use image node_id 2 for calling a global function with example usage: _load_model(input_file, dict_dir) and returns: models