tokenizer with `model_max_length`

[granth23]

Hi, thank you for this project but I am facing some issues while running the code for Boolean Question Generation:

/home/codespace/.python/current/lib/python3.10/site-packages/transformers/models/t5/tokenization_t5.py:163: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5.
For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with truncation is True.

• Be aware that you SHOULD NOT rely on t5-base automatically truncating your input to 512 when padding/encoding.
• If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with model_max_length or pass max_length when encoding/padding.
• To avoid this warning, please instantiate this tokenizer with model_max_length set to your preferred value.
  warnings.warn(

Canceled future for execute_request message before replies were done
The Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click here for more info. View Jupyter log for further details.

[AliHaider20]

@granth23 Are you still facing the same issue? What I see that now it gives a warning, but the code doesn't break.

@ramsrigouthamg Could you assign this task to me?

[AliHaider20]

This issue is solved. Close it.