google-bert

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bert-base-cased-finetuned-mrpc

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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("bert-base-cased-finetuned-mrpc")
>>> current_tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-cased-finetuned-mrpc")
>>> 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("bert-base-cased-finetuned-mrpc")
>>> current_tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-cased-finetuned-mrpc")
>>> print(previous_tokenizer.model_max_length, current_tokenizer.model_max_length)
512, 512