class_docstr: Creation of a class to output only the last hidden state from the encoder 
class_docstr_tok: ["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: fastT5/fastT5/onnx_models_structure.py
imports: import torch
label_desc: Use image node_id 1 to create a new T5Encoder object from inherited base classes: torch.nn with example: obj = T5Encoder(encoder)