I am trying to use XLNET through transformers. however i keep getting the issue "AttributeError: 'NoneType' object has no attribute 'tokenize'". I am unsure of how to proceed. if anyone could point me in the right direction it would be appreciated.
tokenizer = XLNetTokenizer.from_pretrained('xlnet-base-cased', do_lower_case=True)
print(' Original: ', X_train[1])
# Print the tweet split into tokens.
print('Tokenized: ', tokenizer.tokenize(X_train[1]))
# Print the tweet mapped to token ids.
print('Token IDs: ', tokenizer.convert_tokens_to_ids(tokenizer.tokenize(X_train[1])))
Original: hey angel duh sexy really thanks haha
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-67-2b1b432b3e15> in <module>()
2
3 # Print the tweet split into tokens.
----> 4 print('Tokenized: ', tokenizer.tokenize(X_train[2]))
5
6 # Print the tweet mapped to token ids.
AttributeError: 'NoneType' object has no attribute 'tokenize'
I assume that:
from transformers import XLNetTokenizerFast
tokenizer = XLNetTokenizerFast.from_pretrained('xlnet-base-cased', do_lower_case=True)
works? In this case, you are just missing the sentencepiece package:
pip install sentencepiece