class_docstr: Wrapper class for Hugging Face Transformers PyTorch T5 model.
class_docstr_tok: ["Wrapper","class","for","Hugging","Face","Transformers","PyTorch","T5","model","."]
code: def step(self):
      return self._step
  
imports: import functools
  import itertools
  import os
  import re
  import time
  from absl import logging
  import mesh_tensorflow.transformer.dataset
  import seqio
  import t5.data
  from t5.models import utils
  from t5.models.t5_model import T5Model
  import tensorflow.compat.v1
  import tensorflow_datasets
  import torch
  import torch.utils.tensorboard
label_desc: Use image node_id 3 for calling the HfPyTorchModel obj's underlying member method code with example usage: obj.step() and returns: self