code: def tie_weights(self):
      self.lm_head.weight = self.backbone.embedding.weight
  
file_path: axolotl/src/axolotl/models/mamba/modeling_mamba.py
imports: import os
  from collections import namedtuple
  from functools import partial
  from typing import Optional, Union
  import torch
  from mamba_ssm.models.mixer_seq_simple import MixerModel, _init_weights
  from mamba_ssm.utils.generation import GenerationMixin
  from mamba_ssm.utils.hf import load_config_hf, load_state_dict_hf
  from torch import nn
  from torch.nn import CrossEntropyLoss
  from axolotl.models.mamba.configuration_mamba import MambaConfig
label_desc: Use image node_id 2 for calling the MambaLMHeadModel obj's underlying member method code with example usage: obj.tie_weights() without return types