class_docstr: The model card stores the recommended attributes for model reporting.
  
  # Parameters
  
  id : `str`
      Model's id, following the convention of task-model-relevant-details.
      Example: rc-bidaf-elmo for a reading comprehension BiDAF model using ELMo embeddings.
  registered_model_name : `str`, optional
      The model's registered name. If `model_class` is not given, this will be used
      to find any available `Model` registered with this name.
  model_class : `type`, optional
      If given, the `ModelCard` will pull some default information from the class.
  registered_predictor_name : `str`, optional
      The registered name of the corresponding predictor.
  display_name : `str`, optional
      The pretrained model's display name.
  task_id : `str`, optional
      The id of the task for which the model was built.
  model_usage: `Union[ModelUsage, str]`, optional
  model_details : `Union[ModelDetails, str]`, optional
  intended_use : `Union[IntendedUse, str]`, optional
  factors : `Union[Factors, str]`, optional
  metrics : `Union[Metrics, str]`, optional
  evaluation_data : `Union[EvaluationData, str]`, optional
  quantitative_analyses : `Union[QuantitativeAnalyses, str]`, optional
  ethical_considerations : `Union[ModelEthicalConsiderations, str]`, optional
  caveats_and_recommendations : `Union[ModelCaveatsAndRecommendations, str]`, optional
  
  !!! Note
      For all the fields that are `Union[ModelCardInfo, str]`, a `str` input will be
      treated as the first argument of the relevant constructor.
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docstr: Converts the `ModelCard` to a flat dictionary object. This can be converted to
  json and passed to any front-end.
docstr_tok: ["Converts","the","`","ModelCard","`","to","a","flat","dictionary","object",".","This","can","be","converted","to","json","and","passed","to","any","front-end","."]
code: def to_dict(self) -> Dict[str, Any]:
      """
      Converts the `ModelCard` to a flat dictionary object. This can be converted to
      json and passed to any front-end.
      """
      info = {}
      for key, val in self.__dict__.items():
          if key != "id":
              if isinstance(val, ModelCardInfo):
                  info.update(val.to_dict())
              else:
                  if val is not None:
                      info[key] = val
      return info
  
imports: import os
  import logging
  from dataclasses import dataclass
  from typing import Optional, Union, Dict, Any, Callable
  from allennlp.common.from_params import FromParams
  from allennlp.models import Model
  from allennlp.common.checks import ConfigurationError
label_desc: Use image node_id 2 for calling the ModelCard obj's underlying member method code with example usage: obj.to_dict() and returns: info