Open letmeseeletmesee opened 2 years ago
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
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)()
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