How to use the gokart.target.make_model_target function in gokart

def test_model_target_on_local(self):
        obj = 1
        file_path = os.path.join(_get_temporary_directory(), 'test.zip')

        target = make_model_target(file_path=file_path,
                                   temporary_directory=_get_temporary_directory(),
                                   save_function=self._save_function,
                                   load_function=self._load_function)

        target.dump(obj)
        loaded = target.load()

        self.assertEqual(loaded, obj)

def test_model_target_on_s3(self):
        conn = boto3.resource('s3', region_name='us-east-1')
        conn.create_bucket(Bucket='test')

        obj = 1
        file_path = os.path.join('s3://test/', 'test.zip')

        target = make_model_target(file_path=file_path,
                                   temporary_directory=_get_temporary_directory(),
                                   save_function=self._save_function,
                                   load_function=self._load_function)

        target.dump(obj)
        loaded = target.load()

        self.assertEqual(loaded, obj)

relative_file_path: str,
                          save_function: Callable[[Any, str], None],
                          load_function: Callable[[str], Any],
                          use_unique_id: bool = True):
        """
        Make target for models which generate multiple files in saving, e.g. gensim.Word2Vec, Tensorflow, and so on.

        :param relative_file_path: A file path to save.
        :param save_function: A function to save a model. This takes a model object and a file path. 
        :param load_function: A function to load a model. This takes a file path and returns a model object.
        :param use_unique_id: If this is true, add an unique id to a file base name.  
        """
        file_path = os.path.join(self.workspace_directory, relative_file_path)
        assert relative_file_path[-3:] == 'zip', f'extension must be zip, but {relative_file_path} is passed.'
        unique_id = self.make_unique_id() if use_unique_id else None
        return gokart.target.make_model_target(file_path=file_path,
                                               temporary_directory=self.local_temporary_directory,
                                               unique_id=unique_id,
                                               save_function=save_function,
                                               load_function=load_function)

def make_large_data_frame_target(self, relative_file_path: str, use_unique_id: bool = True, max_byte=int(2**26)) -> TargetOnKart:
        file_path = os.path.join(self.workspace_directory, relative_file_path)
        unique_id = self.make_unique_id() if use_unique_id else None
        return gokart.target.make_model_target(file_path=file_path,
                                               temporary_directory=self.local_temporary_directory,
                                               unique_id=unique_id,
                                               save_function=gokart.target.LargeDataFrameProcessor(max_byte=max_byte).save,
                                               load_function=gokart.target.LargeDataFrameProcessor.load)