class_docstr: Simple sentiment analysis model.
class_docstr_tok: ["Simple","sentiment","analysis","model","."]
code: def max_minibatch_size(self):
      # This tells lit_model.BatchedModel.predict() how to batch inputs to
      # predict_minibatch().
      # Alternately, you can just override predict() and handle batching yourself.
      return 32
  
imports: from collections.abc import Sequence
  import sys
  from typing import Optional
  from absl import app
  from absl import flags
  from absl import logging
  from lit_nlp import dev_server
  from lit_nlp import server_flags
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.datasets import glue
  from lit_nlp.lib import file_cache
  from lit_nlp.lib import utils
  import tensorflow
  import transformers
label_desc: Use image node_id 2 for calling the SimpleSentimentModel obj's underlying member method code with example usage: obj.max_minibatch_size() and returns: int