code: def BERTRegressionHead():
      return tl.Serial(
          [
              tl.Select([0], n_in=2),
              tl.Dense(
                  1,
                  kernel_initializer=tl.RandomNormalInitializer(0.02),
                  bias_initializer=tl.RandomNormalInitializer(1e-6),
              ),
              tl.Fn("RemoveAxis", lambda x: np.squeeze(x, axis=1)),
          ]
      )
  
imports: import os
  import pathlib
  import urllib
  import zipfile
  import gin
  import jax
  import tensorflow
  from trax import fastmath
  from trax import layers
  from trax.fastmath import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: BERTRegressionHead() and returns: tl