Example doc for token classification of Llama and Dependent/Copied Models
Author: h3110Fr13nd
Pull request: yes

# What does this PR do?

I've add Examples of `LlamaForTokenClassification` and all it's dependent models.
The models include
- Llama
- Mistral
- Mixttral
- Nemotron
- Persimmon
- Qwen2
- Qwen2Moe
- StableLM
- StarCoder2
- Gemma (Modular)
- Gemma2 (Modular)

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## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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## Who can review?

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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @ylacombe, @eustlb
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @SunMarc
- chat templates: @Rocketknight1

Integrations:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc

Documentation: @stevhliu

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: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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@stevhliu Can you please review.

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_34139). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

> Very nice, thanks!
> 
> The Qwen2 checkpoint should be [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) and the Qwen2MoE checkpoint should be [Qwen/Qwen2-57B-A14B](https://huggingface.co/Qwen/Qwen2-57B-A14B).

Done. @stevhliu