Add `TemplateConstraint` and `OrdredConstraint` features (#27706)
Author: jychen630
Pull request: yes

# What does this PR do?

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According to issue #27706, `TemplateConstraint` is a useful constraint during beam search for constrained decoding. It's desired by the community. In response to this feature request, we implemented the `TemplateConstraint and OrderedConstraint` classes in `src/transformers/generation/beam_constraints.py`. We integrated the constraint workflow with `model.generate()` via corresponding logits processors in `src/transformers/generations/logits_process.py` and test cases in `tests/generation/test_beam_constraints.py`.


Contributors:
Junyao (@jychen630), Raavi (@raavi02) and Pranitha (@NPranitha) 

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Hello!  We noticed @ArthurZucker and @gante 's discussion around template constraints in the issue #27706  - may you please kindly review this a bit? Thanks!  

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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
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- flax: @gante and @Rocketknight1
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- trainer: @zach-huggingface and @SunMarc
- chat templates: @Rocketknight1

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cc @gante

Hi @jychen630 👋 Thank you for opening this PR 🤗 

We're in the process of enabling custom `generate` techniques from the Hub ([PR](https://github.com/huggingface/transformers/pull/36405)). Over time, the goal is to keep the most popular decoding methods in `transformers`, while moving others to the Hub -- this will help our team focus its resources. 

Constrained generation is one of the techniques that will be moved to the Hub. As such, I'm not accepting more features for it at the moment, but I'd like to encourage you to share your expanded functionality as a Hub generation method! The PR I linked above should be merged this week :D