[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/led.md

@@ -35,7 +35,7 @@ WikiHop and TriviaQA. We finally introduce the Longformer-Encoder-Decoder (LED),
 long document generative sequence-to-sequence tasks, and demonstrate its effectiveness on the arXiv summarization
 dataset.*
 
-Tips:
+## Usage tips
 
 - [`LEDForConditionalGeneration`] is an extension of
   [`BartForConditionalGeneration`] exchanging the traditional *self-attention* layer with
@@ -52,15 +52,15 @@ Tips:
   errors. This can be done by executing `model.gradient_checkpointing_enable()`. 
  Moreover, the `use_cache=False`
   flag can be used to disable the caching mechanism to save memory.
-- A notebook showing how to evaluate LED, can be accessed [here](https://colab.research.google.com/drive/12INTTR6n64TzS4RrXZxMSXfrOd9Xzamo?usp=sharing).
-- A notebook showing how to fine-tune LED, can be accessed [here](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing).
 - LED is a model with absolute position embeddings so it's usually advised to pad the inputs on the right rather than
   the left.
 
 This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten).
 
-## Documentation resources
+## Resources
 
+- [A notebook showing how to evaluate LED](https://colab.research.google.com/drive/12INTTR6n64TzS4RrXZxMSXfrOd9Xzamo?usp=sharing).
+- [A notebook showing how to fine-tune LED](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing).
 - [Text classification task guide](../tasks/sequence_classification)
 - [Question answering task guide](../tasks/question_answering)
 - [Translation task guide](../tasks/translation)
@@ -100,6 +100,9 @@ This model was contributed by [patrickvonplaten](https://huggingface.co/patrickv
 
 [[autodoc]] models.led.modeling_tf_led.TFLEDSeq2SeqLMOutput
 
+<frameworkcontent>
+<pt>
+
 ## LEDModel
 
 [[autodoc]] LEDModel
@@ -120,6 +123,9 @@ This model was contributed by [patrickvonplaten](https://huggingface.co/patrickv
 [[autodoc]] LEDForQuestionAnswering
     - forward
 
+</pt>
+<tf>
+
 ## TFLEDModel
 
 [[autodoc]] TFLEDModel
@@ -129,3 +135,9 @@ This model was contributed by [patrickvonplaten](https://huggingface.co/patrickv
 
 [[autodoc]] TFLEDForConditionalGeneration
     - call
+
+</tf>
+</frameworkcontent>
+
+
+