code: def transformer_nat_big():
      """Set of hyperparameters."""
      hparams = transformer_nat_small()
      hparams.batch_size = 2048
      hparams.hidden_size = 1024
      hparams.filter_size = 4096
      hparams.num_hidden_layers = 6
      hparams.num_heads = 16
      hparams.layer_prepostprocess_dropout = 0.3
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from six.moves import range
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import beam_search
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  from tensorflow.python.training import moving_averages
label_desc: Use image node_id 15 for calling a global function with example usage: transformer_nat_big() and returns: hparams