text: from sparknlp.annotator import *
  
  class MultiClassifier:
      @staticmethod
      def get_default_model():
          return MultiClassifierDLModel.pretrained() \
              .setInputCols("sentence_embeddings") \
              .setOutputCol("category")
  
      @staticmethod
      def get_pretrained_model(name, language):
          return MultiClassifierDLModel.pretrained(name,language) \
              .setInputCols("sentence_embeddings") \
              .setOutputCol("multi_category")
      
  
  
  
      @staticmethod
      def get_default_trainable_model():
          return MultiClassifierDLApproach() \
              .setInputCols("sentence_embeddings") \
              .setOutputCol("multi_category") \
              .setLabelColumn("y") \
              .setEnableOutputLogs(True) \
              .setMaxEpochs(2)
  