Adding resource section to GPT-J docs
Author: adit299
Pull request: yes

# What does this PR do?
Adds resources section to the GPT-J documents. 

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Fixes #20055 (issue)


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@sgugger @stevhliu @MKhalusova

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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts and @NielsRogge
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @sgugger

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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)

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- Flax: @sanchit-gandhi
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Comments:
_The documentation is not available anymore as the PR was closed or merged._

Hello,

I have been currently working on finding resources for GPT-J, and mainly I have been using the links mentioned in #20055 and searching GPT-J in each of the links. I found a few links, but I feel this is not the best way to find the resources. Can you share some tips for how you were able to find more resources? @stevhliu 

What I have so far:

GPT-J Description:
- https://huggingface.co/EleutherAI/gpt-j-6B

Blog Posts:
- https://huggingface.co/blog/gptj-sagemaker
- https://www.philschmid.de/gptj-deepspeed-inference

NielsRogge's Transformers Tutorials:
- https://github.com/kingoflolz/mesh-transformer-jax

Thanks for your work, that's a great start and I think you have most of them! You can also add:

* This [GPT-J notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/GPT-J-6B/Inference_with_GPT_J_6B.ipynb) from Niels Transformers Tutorials for inference.
* A [chapter](https://huggingface.co/course/en/chapter7/6?fw=pt#training-a-causal-language-model-from-scratch) in the Hugging Face Course for causal language modeling.
* The example scripts and notebooks for causal language modeling and text generation (see the last three bullet points under the Resource section [here](https://huggingface.co/docs/transformers/model_doc/gpt2#resources) for GPT-2).

It looks like the formatting for the docs is still not correct..the bulletpoints are all jumbled up. Looking into this...

I have marked the pull request as ready to review 👍 @stevhliu