code: def test_original():
      model = Detoxify("original")
      results = model.predict(
          ["shut up, you liar", "i am a jewish woman who is blind"]
      )
      assert len(results) == 6
      assert all(cl in results for cl in CLASSES[:6])
      assert results["toxicity"][0] >= 0.7
      assert results["toxicity"][1] < 0.5
  
file_path: detoxify/tests/test_models.py
imports: from detoxify.detoxify import Detoxify, multilingual_toxic_xlm_r, toxic_albert, toxic_bert, unbiased_albert, unbiased_toxic_roberta
  from transformers import AlbertForSequenceClassification, BertForSequenceClassification, RobertaForSequenceClassification, XLMRobertaForSequenceClassification
label_desc: Use image node_id 6 for calling a global function with example usage: test_original() without return types