added type hints for Yolos Pytorch model
Author: WhiteWolf47
Pull request: yes

# What does this PR do?

<!--
Congratulations! You've made it this far! You're not quite done yet though.

Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.

Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change.

Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost.
-->

<!-- Remove if not applicable -->

Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [x] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? 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](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] 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.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

Models:

- albert, bert, xlm: @LysandreJik
- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
- fsmt: @stas00
- funnel: @sgugger
- gpt2: @patrickvonplaten, @LysandreJik
- rag: @patrickvonplaten, @lhoestq
- tensorflow: @LysandreJik

Library:

- benchmarks: @patrickvonplaten
- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
- tokenizers: @n1t0, @LysandreJik
- trainer: @sgugger
- pipelines: @LysandreJik

Documentation: @sgugger

HF projects:

- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

 -->


Comments:
@sgugger can you please help?

_The documentation is not available anymore as the PR was closed or merged._

This looks good, but a few comments!

1) You'll need to run `make fixup` to ensure our code style stays consistent. You might need to install the dev dependencies for that, [see here](https://huggingface.co/docs/transformers/contributing#start-contributing-pull-requests)
2) We'd prefer to just use the built-in `bool` rather than `traitlets.Bool`
3) The most important methods to add type hints to are the `forward()` methods on the main model classes (e.g. in `modeling_yolos.py`). Still, I'll totally accept PRs covering other methods!

> This looks good, but a few comments!
> 
> 1. You'll need to run `make fixup` to ensure our code style stays consistent. You might need to install the dev dependencies for that, [see here](https://huggingface.co/docs/transformers/contributing#start-contributing-pull-requests)
> 2. We'd prefer to just use the built-in `bool` rather than `traitlets.Bool`
> 3. The most important methods to add type hints to are the `forward()` methods on the main model classes (e.g. in `modeling_yolos.py`). Still, I'll totally accept PRs covering other methods!

hey, i installed the dev dependencies but make fixup is giving error: no such file or directory. I'll totally try to cover the methods you mentioned in my next pr :)


Alright, let me see if I can run it here!

> Looks good to me now - I deleted the `traitlets.Bool` thing, but aside from that I'm happy with it!

Thanks man, It feels good finally get my first PR on transformers, looking forward to contributing more