code: def assign_hf_function(function_obj: FunctionCatalogEntry):
      """
      Assigns the correct HF Model to the Function. The model assigned depends on
      the task type for the Function. This is done so that we can
      process the input correctly before passing it to the HF model.
      """
      inputs = function_obj.args
  
      # NOTE: Currently, we only support models that require a single input.
      assert len(inputs) == 1, "Only single input models are supported."
  
      task = get_metadata_entry_or_val(function_obj, "task", None)
      assert (
          task is not None
      ), "task not specified in Hugging Face Function"
      model_class = MODEL_FOR_TASK[task]
  
      return lambda: model_class(function_obj)
  
label_desc: Use image node_id 1 for calling a global function with example usage: assign_hf_function(function_obj) and returns: function