def METHOD_NAME(self):
    pdf = get_sample_pdf()
    pdf["not_text"] = pdf["text"]
    res = nlu.load("tokenize", verbose=True).predict(
        pdf["not_text"], output_level="sentence"
    )
    # res = nlu.load('bert',verbose=True).predict('@Your life is the sum of a remainder of an unbalanced equation inherent to the programming of the matrix. You are the eventuality of an anomaly, which despite my sincerest efforts I have been unable to eliminate from what is otherwise a harmony of mathematical precision. While it remains a burden assiduously avoided, it is not unexpected, and thus not beyond a measure of control. Which has led you, inexorably, here.', output_level='sentence')
    print(res)
    print(res.columns)
    print(res.dtypes)