def METHOD_NAME(self, model, **kwargs):
    sparsifier = WeightNormSparsifier()
    sparsifier.prepare(model, config=self.model_sparse_config)
    scheduler_args = {
        'init_sl': self.initial_sparsity,
        'init_t': self.initial_step,
    }
    scheduler_args.update(kwargs)
    scheduler = CubicSL(sparsifier, **scheduler_args)
    return sparsifier, scheduler