KeyError: 'layoutlmv2' in AutoTokenizer

I get key error, when I try to run AutoTokenizer.from_pretrained("microsoft/layoutlmv2-base-uncased") same is the case even when I download the files to local and run the above with path to the config folder

I also do not find layoutlmv2 in the AutoTokenizer.from_pretrained Documentation.

Any leads on how to use it the right way would be helpful

[nkrot]

I also do not find layoutlmv2 in the AutoTokenizer.from_pretrained Documentation

this is because it is not in transformers but in layoutlm. the latter adds new symbols in layoutlmft/layoutlmft/__init__.py.

The snippet below worked for me. Well, at least it did not produce an error. And I did not try to run the tokenizer itself 😃

import layoutlmft
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('microsoft/layoutlmv2-base-uncased')

I have to say, the library is kind of shit in terms of documentation. I am learning it by trial and error, by disassembling the code. the script run_funsd.py and grep are very handy 😃

Good luck in your exploration!

[sindhuattaiger]

I also do not find layoutlmv2 in the AutoTokenizer.from_pretrained Documentation

this is because it is not in transformers but in layoutlm. the latter adds new symbols in layoutlmft/layoutlmft/__init__.py.

The snippet below worked for me. Well, at least it did not produce an error. And I did not try to run the tokenizer itself 😃

import layoutlmft
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('microsoft/layoutlmv2-base-uncased')

I have to say, the library is kind of shit in terms of documentation. I am learning it by trial and error, by disassembling the code. the script run_funsd.py and grep are very handy 😃

Good luck in your exploration!

This solved the issue