class_docstr: Creation of a class to combine the decoder and the lm head 
class_docstr_tok: ["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: fastT5/fastT5/onnx_models_structure.py
imports: import torch
label_desc: Use image node_id 1 to create a new DecoderWithLMhead object from inherited base classes: torch.nn with example: obj = DecoderWithLMhead(decoder, lm_head, config)