[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/rag.md

@@ -52,8 +52,12 @@ parametric-only seq2seq baseline.*
 
 This model was contributed by [ola13](https://huggingface.co/ola13).
 
-Tips:
-- Retrieval-augmented generation (“RAG”) models combine the powers of pretrained dense retrieval (DPR) and Seq2Seq models. RAG models retrieve docs, pass them to a seq2seq model, then marginalize to generate outputs. The retriever and seq2seq modules are initialized from pretrained models, and fine-tuned jointly, allowing both retrieval and generation to adapt to downstream tasks.
+## Usage tips
+
+Retrieval-augmented generation ("RAG") models combine the powers of pretrained dense retrieval (DPR) and Seq2Seq models. 
+RAG models retrieve docs, pass them to a seq2seq model, then marginalize to generate outputs. The retriever and seq2seq 
+modules are initialized from pretrained models, and fine-tuned jointly, allowing both retrieval and generation to adapt 
+to downstream tasks.
 
 ## RagConfig
 
@@ -73,6 +77,9 @@ Tips:
 
 [[autodoc]] RagRetriever
 
+<frameworkcontent>
+<pt>
+
 ## RagModel
 
 [[autodoc]] RagModel
@@ -90,6 +97,9 @@ Tips:
     - forward
     - generate
 
+</pt>
+<tf>
+
 ## TFRagModel
 
 [[autodoc]] TFRagModel
@@ -106,3 +116,6 @@ Tips:
 [[autodoc]] TFRagTokenForGeneration
     - call
     - generate
+
+</tf>
+</frameworkcontent>