[Docs] Model_doc structure/clarity improvements (#26876)

* first batch of structure improvements for model_docs

* second batch of structure improvements for model_docs

* more structure improvements for model_docs

* more structure improvements for model_docs

* structure improvements for cv model_docs

* more structural refactoring

* addressed feedback about image processors

docs/source/en/model_doc/vit_hybrid.md

@@ -25,7 +25,6 @@ Uszkoreit, Neil Houlsby. It's the first paper that successfully trains a Transfo
 very good results compared to familiar convolutional architectures. ViT hybrid is a slight variant of the [plain Vision Transformer](vit),
 by leveraging a convolutional backbone (specifically, [BiT](bit)) whose features are used as initial "tokens" for the Transformer.
 
-
 The abstract from the paper is the following:
 
 *While the Transformer architecture has become the de-facto standard for natural language processing tasks, its
@@ -40,7 +39,6 @@ substantially fewer computational resources to train.*
 This model was contributed by [nielsr](https://huggingface.co/nielsr). The original code (written in JAX) can be
 found [here](https://github.com/google-research/vision_transformer).
 
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 ## Resources
 
 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with ViT Hybrid.
@@ -52,7 +50,6 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource.
 
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 ## ViTHybridConfig
 
 [[autodoc]] ViTHybridConfig