Note that mLUKE has its own tokenizer, [MLukeTokenizer]. You can initialize it as follows:
thon
from transformers import MLukeTokenizer
tokenizer = MLukeTokenizer.from_pretrained("studio-ousia/mluke-base")

As mLUKE's architecture is equivalent to that of LUKE, one can refer to LUKE's documentation page for all
tips, code examples and notebooks.

MLukeTokenizer
[[autodoc]] MLukeTokenizer
    - call
    - save_vocabulary