google-t5

/

t5-large

like 185

Follow

T5 community 72

The tokenizer configuration file is missing/incorrect and therefore leading to unforeseen errors after the migration of the canonical models.

Refer to the following issue for more information: transformers#29050

The current failing code is the following:

from transformers import AutoTokenizer

>>> previous_tokenizer = AutoTokenizer.from_pretrained("t5-large")
>>> current_tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-large")
>>> print(previous_tokenizer.model_max_length, current_tokenizer.model_max_length)
1000000000000000019884624838656, 512

This is the result after the fix:

from transformers import AutoTokenizer

>>> previous_tokenizer = AutoTokenizer.from_pretrained("t5-large")
>>> current_tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-large")
>>> print(previous_tokenizer.model_max_length, current_tokenizer.model_max_length)
512, 512