[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/squeezebert.md

@@ -38,7 +38,9 @@ self-attention layers with grouped convolutions, and we use this technique in a
 SqueezeBERT, which runs 4.3x faster than BERT-base on the Pixel 3 while achieving competitive accuracy on the GLUE test
 set. The SqueezeBERT code will be released.*
 
-Tips:
+This model was contributed by [forresti](https://huggingface.co/forresti).
+
+## Usage tips
 
 - SqueezeBERT is a model with absolute position embeddings so it's usually advised to pad the inputs on the right
   rather than the left.
@@ -48,9 +50,7 @@ Tips:
 - For best results when finetuning on sequence classification tasks, it is recommended to start with the
   *squeezebert/squeezebert-mnli-headless* checkpoint.
 
-This model was contributed by [forresti](https://huggingface.co/forresti).
-
-## Documentation resources
+## Resources
 
 - [Text classification task guide](../tasks/sequence_classification)
 - [Token classification task guide](../tasks/token_classification)