class_docstr: Classification model on Jigsaw Toxicity Dataset.
class_docstr_tok: ["Classification","model","on","Jigsaw","Toxicity","Dataset","."]
code: def output_spec(self) -> Spec:
      ret = super().output_spec()
      ret["probas"] = lit_types.MulticlassPreds(
          parent=self.config.label_name,
          vocab=self.config.labels,
          null_idx=self.config.null_label_idx,
          threshold=0.3,
      )
      return ret
  
imports: import os
  from collections.abc import Iterable, Sequence
  import re
  import threading
  from typing import Any, Optional
  import attr
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.models import model_utils
  from lit_nlp.lib import file_cache
  from lit_nlp.lib import utils
  import numpy
  import tensorflow
  import transformers
label_desc: Use image node_id 2 for calling the ToxicityModel obj's underlying member method code with example usage: obj.output_spec() and returns: ret