class_docstr: Creation of a class to combine the decoder and the lm head 
code: def __init__(self, decoder, lm_head, config):
      super().__init__()
      self.decoder = decoder
      self.lm_head = lm_head
      self.config = config
  
file_path: onnxt5/onnxt5/models.py
imports: import torch
  import torch.nn.functional
  from tqdm import trange
label_desc: Use image node_id 1 to create a new CombinedDecoder object from inherited base classes: torch.nn with example: obj = CombinedDecoder(decoder, lm_head, config)