Feature Request: Add support for --do_train/eval/predict arguments in the TF examples script for token classification
It would be truly awesome if the TensorFlow example of token classification could mimic the capabilities of the PyTorch implementation, by providing additional argument-functionality, including `--do_train`, `--do_eval` and `--do_predict`. 

Furthermore, giving the user the opportunity to provide a custom dataset through the `--predict_file` argument.  💯 

I see that you, @Rocketknight1, are already doing some awesome work, so perhaps you know whether this will be implemented anytime soon?

https://github.com/huggingface/transformers/blob/9ff672fc4d84db3b077e03ea22e2dafbd5d99fa4/examples/tensorflow/token-classification/run_ner.py#L494-L527


Hi, you can use the `--train_file` and `--validation_file` arguments to pass custom data to the model! Are you specifically interested in doing predictions too?<|||||>Yes! It is the predictions I think would be awesome to have the option to do! 🥇 <|||||>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.<|||||>Hi, I didn't mean to let this go stale! We're planning a rewrite of our examples with the new data pipeline soon - I'll try to make sure we include the option for a `--predict_file` when that happens.<|||||>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.