model_summary.md - Restore link to Harvard's Annotated Transformer.

[gamepad-coder]

What does this PR do?

Why:

• Action item from conversation here:
  Refactor model summary #21408 (comment)

What

• Single parenthetical added
  to the first sentence of the intro paragraph under the The Transformer model family header (just after the link to the original Transformer paper).
• Restores a link to Harvard's iconic "The Annotated Transformer"
  http://nlp.seas.harvard.edu/2018/04/03/attention.html
• (See before and after mockup @ bottom of this PR description)

Page updated

• https://huggingface.co/docs/transformers/model_summary

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline,
  Pull Request section?
• Was this discussed/approved via a Github issue or the forum? Please add a link
  to it if that's the case.
• Did you make sure to update the documentation with your changes? Here are the
  documentation guidelines, and
  here are tips on formatting docstrings.
• Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

---

=== Mockup using DevTools in Chrome ===

Before PR (current main on left)
After PR (this branch on right)

https://huggingface.co/docs/transformers/model_summary

[stevhliu]

LGTM!

[stevhliu]

Suggested change

Since its introduction in 2017, the [original Transformer](https://arxiv.org/abs/1706.03762) model has inspired many new and exciting models that extend beyond natural language processing (NLP) tasks. There are models for [predicting the folded structure of proteins](https://huggingface.co/blog/deep-learning-with-proteins), [training a cheetah to run](https://huggingface.co/blog/train-decision-transformers), and [time series forecasting](https://huggingface.co/blog/time-series-transformers). With so many Transformer variants available, it can be easy to miss the bigger picture. What all these models have in common is they're based on the original Transformer architecture. Some models only use the encoder or decoder, while others use both. This provides a useful taxonomy to categorize and examine the high-level differences within models in the Transformer family, and it'll help you understand Transformers you haven't encountered before. For a gentle introduction see the [Annotated Transformer](http://nlp.seas.harvard.edu/2018/04/03/attention.html).

Since its introduction in 2017, the [original Transformer](https://arxiv.org/abs/1706.03762) model (see the [Annotated Transformer](http://nlp.seas.harvard.edu/2018/04/03/attention.html)) blog post for a gentle technical introduction) has inspired many new and exciting models that extend beyond natural language processing (NLP) tasks. There are models for [predicting the folded structure of proteins](https://huggingface.co/blog/deep-learning-with-proteins), [training a cheetah to run](https://huggingface.co/blog/train-decision-transformers), and [time series forecasting](https://huggingface.co/blog/time-series-transformers). With so many Transformer variants available, it can be easy to miss the bigger picture. What all these models have in common is they're based on the original Transformer architecture. Some models only use the encoder or decoder, while others use both. This provides a useful taxonomy to categorize and examine the high-level differences within models in the Transformer family, and it'll help you understand Transformers you haven't encountered before.

[gamepad-coder]

=== ✅ Suggestion Implemented ===

I actually do like that a lot more, thanks @stevhliu !

Updated my PR in two commits to match your suggestion.
(Minor fyi: Couldn't commit it directly because the suggestion parenthetical had an extra ))

• 3d0ec4d
  • matches your suggestion's wording + placement of link
  • but typo: commit accidentally removed "has" when I pasted the suggestion
• 9378f4d
  • restores "has" after the parenthetical

=== VS Code: Diff Screenshots ===

GitHub struggles with single-line diffs, so here's my local diff in VS Code.
Just OCD, but feel free to verify for yourself too :)

diff for 3d0ec4d -- note the oops, missing "has"

diff for 9378f4d -- "has" restored

And finally: current PR's overall diff with main from last week

[gamepad-coder]

If there are no more change requests, feel free to merge it whenever.
And if there are any typos I missed, feel free to directly update the PR.

Sidenote:
I do like the annotated link much much better next to the original Transformer link, but I was hesitant to add too much noise to the intro sentence as a newcomer contributer. So thanks for that suggestion. 👍

PS:
I really appreciate the responsiveness and culture in this project, thanks for the help and the positive experience. :)

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.