Docs bart training ref (#8330)

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

docs/source/model_doc/bart.rst

@@ -26,6 +26,16 @@ According to the abstract,
 The Authors' code can be found `here <https://github.com/pytorch/fairseq/tree/master/examples/bart>`__.
 
 
+Examples
+_______________________________________________________________________________________________________________________
+
+- Examples and scripts for fine-tuning BART and other models for sequence to sequence tasks can be found in
+  `examples/seq2seq/ <https://github.com/huggingface/transformers/blob/master/examples/seq2seq/README.md>`__.
+- An example of how to train :class:`~transformers.BartForConditionalGeneration` with a Hugging Face :obj:`datasets`
+  object can be found in this `forum discussion
+  <https://discuss.huggingface.co/t/train-bart-for-conditional-generation-e-g-summarization/1904>`__.
+
+
 Implementation Notes
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 

examples/seq2seq/README.md

 ## Sequence to Sequence Training and Evaluation
 
 This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks.
-Please tag @sshleifer with any issues/unexpected behaviors, or send a PR!
+Please tag @patil-suraj with any issues/unexpected behaviors, or send a PR!
 For deprecated `bertabs` instructions, see [`bertabs/README.md`](bertabs/README.md).
 
 ### Supported Architectures