[WIP] Add VGCN-BERT model
# What does this PR do?
Adds the VGCN-BERT model from [VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification](https://arxiv.org/abs/2004.05707) paper.

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Fixes #24038 (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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      Pull Request section?
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      to it if that's the case. [24038](https://github.com/huggingface/transformers/issues/24038)
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      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [x] 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
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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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cc @ArthurZucker @younesbelkada <|||||>Hey! Thanks a lot for opening this PR 🔥 
We have been pushing a lot for models to be on the hub, as it is a lot easier to implement ! What do you think about trying [this tutorial out](https://huggingface.co/docs/transformers/custom_models)! <|||||>> Hey! Thanks a lot for opening this PR 🔥 We have been pushing a lot for models to be on the hub, as it is a lot easier to implement ! What do you think about trying [this tutorial out](https://huggingface.co/docs/transformers/custom_models)!

Thanks for your reply @ArthurZucker . I am trying with the new way and put model with code to [here in hub](https://huggingface.co/zhibinlu/vgcn-bert-distilbert-base-uncased)
but I found I can not put my `modeling_graph.py` in my upload script with this function `model.push_to_hub`. Also, people need import it using `from transformers.models.vgcn_bert.modeling_graph import WordGraph` in this PR, but do you have a suggestion when I put it in hub?

And, how to put model.safetensors instead of model.bin;
how to put other files like `README.md` (I create manually in the hub UI), `tokenizer.json` etc.

my upload script
```
from vgcn_bert.configuration_vgcn_bert import VGCNBertConfig
from vgcn_bert.modeling_vgcn_bert import VGCNBertModel, VGCNBertForMaskedLM, VGCNBertForMultipleChoice, VGCNBertForQuestionAnswering, VGCNBertForSequenceClassification, VGCNBertForTokenClassification

import transformers as tfr
from vgcn_bert.modeling_graph import WordGraph

VGCNBertConfig.register_for_auto_class()
VGCNBertModel.register_for_auto_class("AutoModel")
VGCNBertForMaskedLM.register_for_auto_class("AutoModelForMaskedLM")
VGCNBertForMultipleChoice.register_for_auto_class("AutoModelForMultipleChoice")
VGCNBertForQuestionAnswering.register_for_auto_class("AutoModelForQuestionAnswering")
VGCNBertForSequenceClassification.register_for_auto_class("AutoModelForSequenceClassification")
VGCNBertForTokenClassification.register_for_auto_class("AutoModelForTokenClassification")

tokenizer = tfr.AutoTokenizer.from_pretrained(
    "zhibinlu/vgcn-distilbert-base-uncased"
)

model = VGCNBertModel.from_pretrained(
    "zhibinlu/vgcn-distilbert-base-uncased",
)

from huggingface_hub import notebook_login

notebook_login()
model.push_to_hub("vgcn-bert-distilbert-base-uncased")
```<|||||>Oups your question slipped through the cracks, let me answers to the best of my knowledge<|||||>> 1. I found I can not put my modeling_graph.py in my upload script with this function model.push_to_hub. 
> 2. Also, people need import it using from transformers.models.vgcn_bert.modeling_graph import WordGraph in this PR, but do you have a suggestion when I put it in hub?
> 3. And, how to put model.safetensors instead of model.bin;
> 4. how to put other files like README.md (I create manually in the hub UI), tokenizer.json etc.

1. That is expected, if you have a look at this [doc page](https://huggingface.co/docs/hub/models-uploading#using-the-huggingfacehub-client-library), it will help you upload the actual code. `push_to_hub` is not made for this!
2. When you put the code on the hub (using `upload` or equivalent), then you simply need to create a `config.json`. If you want an example, here is [one](https://huggingface.co/tiiuae/falcon-7b/blob/main/config.json). Falcon is hosted on the hub. 
3. You should be able to save the safetensors weights using `use_safetensors=True` option when pushing to the hub/saving the model.
4. The readme can also be uploaded on the hub like any other files. You can push the tokenizer using `tokenizer.push_to_hub("path")`

hope this helps you <|||||>> > 1. I found I can not put my modeling_graph.py in my upload script with this function model.push_to_hub.
> > 2. Also, people need import it using from transformers.models.vgcn_bert.modeling_graph import WordGraph in this PR, but do you have a suggestion when I put it in hub?
> > 3. And, how to put model.safetensors instead of model.bin;
> > 4. how to put other files like README.md (I create manually in the hub UI), tokenizer.json etc.
> 
> 1. That is expected, if you have a look at this [doc page](https://huggingface.co/docs/hub/models-uploading#using-the-huggingfacehub-client-library), it will help you upload the actual code. `push_to_hub` is not made for this!
> 2. When you put the code on the hub (using `upload` or equivalent), then you simply need to create a `config.json`. If you want an example, here is [one](https://huggingface.co/tiiuae/falcon-7b/blob/main/config.json). Falcon is hosted on the hub.
> 3. You should be able to save the safetensors weights using `use_safetensors=True` option when pushing to the hub/saving the model.
> 4. The readme can also be uploaded on the hub like any other files. You can push the tokenizer using `tokenizer.push_to_hub("path")`
> 
> hope this helps you

@ArthurZucker Ok, these answers will help me, after getting rid of all the problems, I will cancel this PR.<|||||>The new implement is here:
https://huggingface.co/zhibinlu/vgcn-bert-distilbert-base-uncased<|||||>Thanks a lot for sharing this and adding this model! 🔥 