code: def _load(model_file, dict_dir):
      import fairseq
  
      overrides = {"data": dict_dir}
      (
          _,
          args,
          _,
      ) = fairseq.checkpoint_utils.load_model_ensemble_and_task(
          [model_file], arg_overrides=overrides
      )
      return _to_json(args["model"])
  
imports: import argparse
  import json
  import os
label_desc: Use image node_id 3 for calling a global function with example usage: _load(model_file, dict_dir) and returns: _to_json