add docstring examples to Encoder repetition penalty logits processor
Author: rajveer43
Pull request: yes

# What does this PR do?

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Related issue: #24783 


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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @sgugger

Integrations:

- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam

Documentation: @sgugger, @stevhliu and @MKhalusova

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: @sgugger
- TensorFlow: @Rocketknight1

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Comments:
@gante , I will test the examples and make suitable changes in the files!

@gante Will you suggest something for this PR?

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25317). All of your documentation changes will be reflected on that endpoint.

Hi @rajveer43 👋 

This logits processor has to be applied to an encoder-decoder model, like T5. I'd like to ask for a very short example: a 20 line example would be perfect :)

You would need to find a prompt that results in an output with repetition. Then, applying this logits processor, the resulting generation should not repeat as much

> Hi @rajveer43 👋
> 
> This logits processor has to be applied to an encoder-decoder model, like T5. I'd like to ask for a very short example: a 20 line example would be perfect :)
> 
> You would need to find a prompt that results in an output with repetition. Then, applying this logits processor, the resulting generation should not repeat as much

Sure, gotcha. and I will make sure it works perfectly. also will try to incorporate more examples .

Hi @rajveer43 👋 

As per [this comment](https://github.com/huggingface/transformers/issues/24783#issuecomment-1693225365), I will no longer accept this PR. Thank you for participating, and my apologies for the inconvenience :)

Sure