Allow `trust_remote_code` in example scripts
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Update example scripts to use `trust_remote_code`.

This PR is similar to https://github.com/huggingface/transformers/pull/25167 but for adding the `trust_remote_code` arg instead of updating the `token` arg.
I am not sure if this feature is welcome so I have only modified pytorch `run_glue.py` for now.
I will modify the other files (every file that was modified in https://github.com/huggingface/transformers/pull/25167) if the change is welcome and after you all are happy with the help string

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## Who can review?
@ydshieh @sgugger 

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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

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- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam

Documentation: @sgugger, @stevhliu and @MKhalusova

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
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- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

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- PyTorch: @sgugger
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The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25248). All of your documentation changes will be reflected on that endpoint.<|||||>Will do flax and tf tomorrow. I have a few questions though:
1. @ydshieh, this script is still using `use_auth_token`. Is this intended? 
https://github.com/huggingface/transformers/blob/main/examples/pytorch/image-pretraining/run_mim_no_trainer.py#L450
2. This script doesnt use `token` or `use_auth_token` for the tokenizer
https://github.com/huggingface/transformers/blob/main/examples/pytorch/contrastive-image-text/run_clip.py#L333-L340
3. The Permutation Language Modeling [script](https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_plm.py) only uses Auto for config and tokenizer, the model is hardcoded to XLNet. So there are 2 options:
  a. Not put `trust_remote_code` in this script -- only the transformers XLNet will be supported.
  b. Change the XLNet lines to use Auto, though Im not sure which Auto to use here.
<|||||>
>     1. @ydshieh, this script is still using `use_auth_token`. Is this intended?
No, it's a miss from my side. Nice catch and thanks!

>     2. This script doesnt use `token` or `use_auth_token` for the tokenizer
>        https://github.com/huggingface/transformers/blob/main/examples/pytorch/contrastive-image-text/run_clip.py#L333-L340
It's probably already been this even before my `token` PRs. I will update them too :-)


>     3. The Permutation Language Modeling [script](https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_plm.py) only uses Auto for config and tokenizer, the model is hardcoded to XLNet. So there are 2 options:
>        a. Not put `trust_remote_code` in this script -- only the transformers XLNet will be supported.

Let's just keep `a` .

Looking forward your PR completed 🚀 

<|||||>Couple more places not using `token` or `use_auth_token`
- Tensorflow examples
  - run_clip: Tokenizer
  - run_clm: Config, Tokenizer, Model
  - run_mlm: Config, Tokenizer, Model
  - run_ner: Config, Tokenizer, Model
 
Most of the no_trainer scripts don't have `token` or `use_auth_token` in the args.
Do we want to add them?