Performs invalid character removal and whitespace cleanup on text

[letmeseeletmesee]

recognizer = absa.aux_models.BasicPatternRecognizer()
nlp = absa.load(pattern_recognizer=recognizer)
completed_task = nlp(text=..., aspects=['slack', 'price'])
slack, price = completed_task.examples

TypeError Traceback (most recent call last)
in ()
1 recognizer = absa.aux_models.BasicPatternRecognizer()
2 nlp = absa.load(pattern_recognizer=recognizer)
----> 3 completed_task = nlp(text=..., aspects=['slack', 'price'])
4 slack, price = completed_task.examples

6 frames
/usr/local/lib/python3.7/dist-packages/transformers/models/bert/tokenization_bert.py in _clean_text(self, text)
488 """Performs invalid character removal and whitespace cleanup on text."""
489 output = []
--> 490 for char in text:
491 cp = ord(char)
492 if cp == 0 or cp == 0xFFFD or _is_control(char):

TypeError: 'ellipsis' object is not iterable