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* Minimal example

* Proposal 2

* Proposal 2 for fast tokenizers

* Typings

* Docs

* Revert "Docs" for easier review

This reverts commit eaf0f97062e809887704a542144c537f769d5223.

* Remove unnecessary assignments

* Tests

* Fix faulty type

* Remove prints

* return_outputs -> model_input_names

* Revert "Revert "Docs" for easier review"

This reverts commit 6fdc69408102bf695797f2dfddbb6350c6b9e722.

* code quality

* improved documentation

* Pass kwargs to configuration

* Setter

* test

And only run the test on TF*MainLayer classes so marked.

When supplied by Keras deserialization, the config parameter to initializers
will be a dict. So intercept it and convert to PretrainedConfig object (and
store in instance attribute for get_config to get at it) before passing to the
actual initializer. To accomplish this, and repeat as little code as possible,
use a class decorator on TF*MainLayer classes.