code: def example_2_1():
      happy_tc = HappyTextClassification(
          model_type="DISTILBERT",
          model_name="distilbert-base-uncased-finetuned-sst-2-english",
      )
      result = happy_tc.classify_text("Great movie! 5/5")
      print(
          type(result)
      )  # <class 'happytransformer.happy_text_classification.TextClassificationResult'>
      print(
          result
      )  # TextClassificationResult(label='POSITIVE', score=0.9998761415481567)
      print(result.label)
  
file_path: happy-transformer/examples/text_classification/readme_examples.py
imports: from happytransformer import HappyTextClassification, TCTrainArgs, TCEvalArgs, TCTestArgs
  from happytransformer import HappyTokenClassification
label_desc: Use image node_id 2 for calling a global function with example usage: example_2_1() without return types