code: def __init__(self, d_model, num_classes, batch_first=True, bias=True):
      super().__init__()
      self.lm_head = nn.Linear(d_model, num_classes, bias=bias)
  
imports: import math
  from functools import partial
  from collections import namedtuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _pair
  import hydra
  from einops import reduce, rearrange
label_desc: Use image node_id 1 to create a new LMHead object from inherited base classes: nn with example: obj = LMHead(d_model, num_classes, batch_first, bias)