code: def get_config():
      """Returns the X-ViT experiment configuration for metaphase sexID."""
      config = chrmID_xvit_config.get_config()
      config.experiment_name = "chrmID-performer-xvit"
      config.model_name = "xvit_classification"
  
      # Dataset.
      config.dataset_name = "chrmID_baseline"
      config.data_dtype_str = "float32"
      config.dataset_configs = ml_collections.ConfigDict()
      # For available cropped shapes, see chrmID_baseline_dataset:DATASET_BASE_DIRS.
      config.dataset_configs.chrm_image_shape = (199, 99)
  
      # Model.
      config.model.attention_fn = "performer"
      config.model.attention_configs.attention_fn_cls = "generalized"
      config.model.attention_configs.attention_fn_configs = None
  
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_config() and returns: config