code: def lmx_h1k_f4k():
      """Transformer on languagemodel_lm1b32k_packed.  140M Params."""
      hparams = lmx_base()
      hparams.hidden_size = 1024
      hparams.filter_size = 4096
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/research/lm_experiments.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
label_desc: Use image node_id 2 for calling a global function with example usage: lmx_h1k_f4k() and returns: hparams