def METHOD_NAME(self):
    pipe = nlu.load("bert", verbose=True)
    # data = self.load_pandas_dataset()
    data = pd.read_csv(
        "../../tests/datasets/en_lang_filtered_sample.csv"
    )[0:1000]
    big_df = data.append(data)
    for i in range(10):
        big_df = big_df.append(big_df)
    big_df
    df = pipe.predict(big_df[:10000], output_level="document")
    for c in df.columns:
        print(df[c])