Map model_type and doc pages names (#14944)

* Map model_type and doc pages names

* Add script

* Fix typo

* Quality

* Manual check for Auto

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

docs/source/model_doc/blenderbot.mdx

@@ -41,7 +41,7 @@ This model was contributed by [sshleifer](https://huggingface.co/sshleifer). The
 - Available checkpoints can be found in the [model hub](https://huggingface.co/models?search=blenderbot).
 - This is the *default* Blenderbot model class. However, some smaller checkpoints, such as
   `facebook/blenderbot_small_90M`, have a different architecture and consequently should be used with
-  [BlenderbotSmall](blenderbot_small).
+  [BlenderbotSmall](blenderbot-small).
 
 
 ## Usage

docs/source/model_doc/imagegpt.mdx

@@ -40,7 +40,7 @@ Tips:
 
 - Demo notebooks for ImageGPT can be found
   [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/ImageGPT).
-- ImageGPT is almost exactly the same as [GPT-2](./model_doc/gpt2), with the exception that a different activation
+- ImageGPT is almost exactly the same as [GPT-2](gpt2), with the exception that a different activation
   function is used (namely "quick gelu"), and the layer normalization layers don't mean center the inputs. ImageGPT
   also doesn't have tied input- and output embeddings.
 - As the time- and memory requirements of the attention mechanism of Transformers scales quadratically in the sequence

docs/source/model_doc/speech_to_text_2.mdx

@@ -20,7 +20,7 @@ Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau.
 
 Speech2Text2 is a *decoder-only* transformer model that can be used with any speech *encoder-only*, such as
 [Wav2Vec2](wav2vec2) or [HuBERT](hubert) for Speech-to-Text tasks. Please refer to the
-[SpeechEncoderDecoder](speechencoderdecoder) class on how to combine Speech2Text2 with any speech *encoder-only*
+[SpeechEncoderDecoder](speech-encoder-decoder) class on how to combine Speech2Text2 with any speech *encoder-only*
 model.
 
 This model was contributed by [Patrick von Platen](https://huggingface.co/patrickvonplaten).
@@ -32,7 +32,7 @@ Tips:
 
 - Speech2Text2 achieves state-of-the-art results on the CoVoST Speech Translation dataset. For more information, see
   the [official models](https://huggingface.co/models?other=speech2text2) .
-- Speech2Text2 is always used within the [SpeechEncoderDecoder](speechencoderdecoder) framework.
+- Speech2Text2 is always used within the [SpeechEncoderDecoder](speech-encoder-decoder) framework.
 - Speech2Text2's tokenizer is based on [fastBPE](https://github.com/glample/fastBPE).
 
 ## Inference

docs/source/model_doc/trocr.mdx

@@ -48,7 +48,7 @@ Tips:
   on both printed (e.g. the [SROIE dataset](https://paperswithcode.com/dataset/sroie) and handwritten (e.g. the [IAM
   Handwriting dataset](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database>) text recognition tasks. For more
   information, see the [official models](https://huggingface.co/models?other=trocr>).
-- TrOCR is always used within the [VisionEncoderDecoder](./model_doc/visionencoderdecoder) framework.
+- TrOCR is always used within the [VisionEncoderDecoder](vision-encoder-decoder) framework.
 
 ## Inference