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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def load(cls, file_name, model_name='default'):
 """ Loads a previously saved PyEMMA object from disk. Parameters file_name : str or file like object (has to provide read method). The file like object tried to be read for a serialized object. model_name: str, default='default' if multiple models are contained in the file, these can be accessed by their name. Use :func:`pyemma.list_models` to get a representation of all stored models. Returns ------- obj : the de-serialized object """

        from .h5file import H5File
        with H5File(file_name, model_name=model_name, mode='r') as f:
            return f.model