class_docstr: Implements the AxialResNet model for multi-label classification.
class_docstr_tok: ["Implements","the","AxialResNet","model","for","multi-label","classification","."]
code: def default_flax_model_config(self) -> ml_collections.ConfigDict:
      return ml_collections.ConfigDict(
          dict(
              width_factor=1,
              num_layers=5,
              axial_attention_configs=ml_collections.ConfigDict(
                  {"num_heads": 2}
              ),
          )
      )
  
imports: from typing import Dict, Tuple, Union
  import flax.linen
  import jax
  import jax.numpy
  import ml_collections
  from scenic.model_lib.base_models.multilabel_classification_model import MultiLabelClassificationModel
  from scenic.model_lib.layers import nn_layers
  from scenic.model_lib.layers import nn_ops
  from scenic.projects.baselines import bit_resnet
label_desc: Use image node_id 2 for calling the AxialResNetMultiLabelClassificationModel obj's underlying member method code with example usage: obj.default_flax_model_config() and returns: ml_collections