class_docstr: A model for testing batched predictions with a minibatch size of 3.
code: def __init__(self):
      self._count = 0
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
label_desc: Use image node_id 1 to create a new _BatchingTestModel object from inherited base classes: model with example: obj = _BatchingTestModel()