class_docstr: Implements the AxialResNet model for multi-label classification.
class_docstr_tok: ["Implements","the","AxialResNet","model","for","multi-label","classification","."]
code: def build_flax_model(self) -> nn.Module:
      return AxialResNet(
          num_outputs=self.dataset_meta_data["num_classes"],
          axial_attention_configs=self.config.axial_attention_configs,
          width_factor=self.config.get("width_factor", 1),
          num_layers=self.config.num_layers,
      )
  
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 1 for calling the AxialResNetMultiLabelClassificationModel obj's underlying member method code with example usage: obj.build_flax_model() and returns: AxialResNet