Deprecate models (#24787)

* Deprecate some models

* Fix imports

* Fix inits too

* Remove tests

* Add deprecated banner to documentation

* Remove from init

* Fix auto classes

* Style

* Remote upgrade strategy 1

* Remove site package cache

* Revert this part

* Fix typo...

* Update utils

* Update docs/source/en/model_doc/bort.md

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* With all files saved

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Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

docs/source/en/model_doc/mctct.md

@@ -16,6 +16,15 @@ rendered properly in your Markdown viewer.
 
 # M-CTC-T
 
+<Tip warning={true}>
+
+This model is in maintenance mode only, so we won't accept any new PRs changing its code.
+
+If you run into any issues running this model, please reinstall the last version that supported this model: v4.30.0.
+You can do so by running the following command: `pip install -U transformers==4.30.0`.
+
+</Tip>
+
 ## Overview
 
 The M-CTC-T model was proposed in [Pseudo-Labeling For Massively Multilingual Speech Recognition](https://arxiv.org/abs/2111.00161) by Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, and Ronan Collobert. The model is a 1B-param transformer encoder, with a CTC head over 8065 character labels and a language identification head over 60 language ID labels. It is trained on Common Voice (version 6.1, December 2020 release) and VoxPopuli. After training on Common Voice and VoxPopuli, the model is trained on Common Voice only. The labels are unnormalized character-level transcripts (punctuation and capitalization are not removed). The model takes as input Mel filterbank features from a 16Khz audio signal.