Adds the tokenizer configuration file
#25
by lysandre HF Staff - opened
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-base")
>>> current_tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-base")
>>> 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-base")
>>> current_tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-base")
>>> print(previous_tokenizer.model_max_length, current_tokenizer.model_max_length)
512, 512