class_docstr: Wrapper class for Hugging Face Transformers PyTorch T5 model.
class_docstr_tok: ["Wrapper","class","for","Hugging","Face","Transformers","PyTorch","T5","model","."]
docstr: Load the most recent checkpoint and update the model's current step.
docstr_tok: ["Load","the","most","recent","checkpoint","and","update","the","model","'s","current","step","."]
code: def load_latest_checkpoint(self):
      """Load the most recent checkpoint and update the model's current step."""
      latest_step = self.get_latest_checkpoint_step()
      if latest_step is not None:
          self.load_checkpoint(latest_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 8 for calling the HfPyTorchModel obj's underlying member method code with example usage: obj.load_latest_checkpoint() without return types