class_docstr: Implemets the ResNet model for multi-label classification.
class_docstr_tok: ["Implemets","the","ResNet","model","for","multi-label","classification","."]
code: def default_flax_model_config(self) -> ml_collections.ConfigDict:
      return _get_default_configs_for_testing()
  
imports: import functools
  from typing import Tuple, Callable, Any, Optional, Union, Dict
  from absl import logging
  import flax
  import flax.linen
  from jax.nn import initializers
  import jax.numpy
  import ml_collections
  from scenic.common_lib import debug_utils
  from scenic.model_lib.base_models.classification_model import ClassificationModel
  from scenic.model_lib.base_models.multilabel_classification_model import MultiLabelClassificationModel
  from scenic.model_lib.layers import nn_layers
label_desc: Use image node_id 2 for calling the ResNetMultiLabelClassificationModel obj's underlying member method code with example usage: obj.default_flax_model_config() and returns: _get_default_configs_for_testing