class_docstr: Frozen-encoder coreference model.
class_docstr_tok: ["Frozen-encoder","coreference","model","."]
code: def max_minibatch_size(self):
      return self.encoder.max_minibatch_size()
  
imports: import os
  from absl import logging
  from lit_nlp.api import dtypes
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.coref import edge_predictor
  from lit_nlp.examples.coref import encoders
  from lit_nlp.examples.coref.datasets import winogender
  from lit_nlp.lib import utils
  import numpy
  import tqdm
label_desc: Use image node_id 6 for calling the FrozenEncoderCoref obj's underlying member method code with example usage: obj.max_minibatch_size() and returns: self