Train tokenizer for Deberta
Hi, I would like to know how can I train a DeBERTa tokenizer. From the paper I saw it uses BPETokenizer, but the BPETokenizer from huggingface/tokenizers doesn't work for this. Could you recommend me another implementation or library or a correct configuration for huggingface/tokenizers implementation to be able to train a DeBERTa model from scratch?

HuggingFace has another library called [tokenizers](https://github.com/huggingface/tokenizers)  especially for this.<|||||>Currently, the training of Deberta Tokenizer is not supported directly by huggingface. Of course, you can create the required files by yourself from BPETokenizer training output, but you could also simply wait until #10703 is merged into the master branch and released. :-)<|||||>How would be the process of creating the required files from the BPETokenizer training output? @cronoik I'd really appreciate a little bit of explanation, as I tried to do so and I failed.<|||||>You can save me a lot of time by simply using the mentioned patch above. Just copy the DebertaTokenizer class to your runtime.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

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