class_docstr: Creation of a class to output only the last hidden state from the encoder 
code: def __init__(self, encoder):
      super().__init__()
      self.encoder = encoder
  
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 SimplifiedT5Encoder object from inherited base classes: torch.nn with example: obj = SimplifiedT5Encoder(encoder)