Hi sharathmk99,
LayoutLM model is not currently available in the huggingface transformers library.    If you want to add it that should be possible (though not simple).    Alternatively, you could put in a suggestion and hope that someone else will incorporate it.
If you decide instead to pre-train a LayoutLM model using native Tensorflow or native PyTorch, the first question is whether you have enough data.   How large is your corpus?
If your corpus is not large enough, you might be better off using a different model that has been pre-trained for the language(s) you need.
Do you definitely want to pre-train (from randomly-initialized) or would it work to fine-tune?   I don’t know what results people get for fine-tuning with a new language.   I expect it would not work at all if the alphabet is different, but it might be at least partly effective if the languages are quite similar (eg english + french which have almost the same alphabet and many of the same word-pieces).