code: def convert_sklearn_label_encoder(operator, device, extra_config):
      """
      Converter for `sklearn.preprocessing.LabelEncoder`
  
      Args:
          operator: An operator wrapping a `sklearn.preprocessing.LabelEncoder` model
          device: String defining the type of device the converted operator should be run on
          extra_config: Extra configuration used to select the best conversion strategy
  
      Returns:
          A PyTorch model
      """
      assert operator is not None, "Cannot convert None operator"
  
      if all(
          [
              type(x) in [int, np.int32, np.int64]
              for x in operator.raw_operator.classes_
          ]
      ):
          return NumericLabelEncoder(
              operator, operator.raw_operator.classes_, device
          )
      else:
          return StringLabelEncoder(
              operator,
              operator.raw_operator.classes_,
              device,
              extra_config,
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: convert_sklearn_label_encoder(operator, device, extra_config) and returns: NumericLabelEncoder, StringLabelEncoder