Guide HF transformer users to use the corresponding hub functions

Is your feature request related to a problem? Please describe. We have push_to_hub_keras to push Keras models. However, HF transformer architectures have a more comprehensive model hub push in save_pretrained. It would be nice to nudge users there if they try to use push_to_hub_keras with an HF transformer.

Describe the solution you’d like A loud warning nudging users to the right place 😄

Describe alternatives you’ve considered An exception, but might be too disruptive.

Additional context As discussed here. I don’t know if there is a similar problem for PyTorch – if there is, this issue would also be applicable there.

cc @merveenoyan

[adrinjalali]

I’d say it’s also related to https://github.com/huggingface/huggingface_hub/issues/824

[osanseviero]

I think this might be a bit of an overthinking; push_to_hub_keras is not as widely know as transformers push_to_hub, and everywhere in transformers docs we show push_to_hub, so I don’t think people would try using push_to_hub_keras for Transformers models.

EDIT: I do see how the two different use of config can cause confusions, although we also do that with the PT mixin I think.