How to train TFBertForTokenClassification without padding mechanism 
I have a situation that input are variable-length, and I want to train sentence one by one. I do not want to use padding and train on batch.
In my study, Keras support fit-generator, but this mechanism deprecated on TF2
Is there any suggestion, I have no idea and need help
Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.
Could you ask your question on the [forum](https://discusss.huggingface.co) instead?

Thanks!<|||||>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.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.