class_docstr: Frozen-encoder coreference model.
class_docstr_tok: ["Frozen-encoder","coreference","model","."]
code: def output_spec(self):
      # TODO(lit-dev): also return the embeddings for each span on datasets
      # with a fixed number of targets; for Winogender this would be
      # {occupation, other participant, pronoun}
      return {
          "tokens": lit_types.Tokens(parent="text"),
          "coref": lit_types.EdgeLabels(align="tokens"),
          "pred_answer": lit_types.MulticlassPreds(
              required=False,
              vocab=winogender.ANSWER_VOCAB,
              parent="answer",
          ),
      }
  
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 9 for calling the FrozenEncoderCoref obj's underlying member method code with example usage: obj.output_spec() and returns: dict