code: def save_as_object_file(self, path):
      if not self._mapping:
          raise ValueError(
              "`fit` method must be called before `save_as_object_file`."
          )
      pickle.dump(self.__dict__, open(path, "wb"))
  
imports: from pandas import DataFrame, Series, unique
  import numpy
  from rich.progress import track
  from sklearn.base import BaseEstimator, TransformerMixin
  from pytorch_tabular.utils import get_logger
label_desc: Use image node_id 6 for calling the CategoricalEmbeddingTransformer obj's underlying member method code with example usage: obj.save_as_object_file(path) without return types