`AddedToken` 's argument are ignored when called in `add_tokens` 's method of slow tokenizers

[SaulLu]

System Info

• transformers version: 4.25.1
• Platform: Linux-5.10.133+-x86_64-with-glibc2.27
• Python version: 3.8.16
• Huggingface_hub version: 0.11.1
• PyTorch version (GPU?): 1.13.0+cu116 (False)
• Tensorflow version (GPU?): 2.9.2 (False)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using GPU in script?: No
• Using distributed or parallel set-up in script?: No

Who can help?

@ArthurZucker

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

The explanations of the bug and its reproduction are contained in the following google colab: https://colab.research.google.com/drive/19SS6Tzlgo0vntFtM6ZsCYq8BNZ5Dy1cS?usp=sharing

Expected behavior

I would expect the fast and slow tokenizers to treat the AddedToken's arguments in the same way.

I think the loss of information for the slow tokenizer occurs at this line:

transformers/src/transformers/tokenization_utils.py

Line 411 in a413c72

new_tokens = [str(tok) for tok in new_tokens]

[ArthurZucker]

I have not dropped this, its still on my TODO list. There are a lot of linked issues!

[ArthurZucker]

(The update is gonna take longer as I am refactoring the tokenizers)