Updated albert.md doc for ALBERT model
Author: ENate
Pull request: yes

# What does this PR do?
I updated the ```albert.md``` doc assigned to me by @stevhliu by adding the vital links and notes on how to use the ALBERT model.

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Fixes # (issue)


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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It was discussed on Github on the following link:
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- [x] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). Yes
- [ ] Did you write any new necessary tests?

No
## Who can review?

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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: @muellerzr and @pacman100

Integrations:

- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc and @younesbelkada

Documentation: @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: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27223). All of your documentation changes will be reflected on that endpoint.

Hi @stevhliu. Can I close this PR?

Thanks again for your contribution!

No worries :)  Looking forward to more.

Hi @stevhliu. Do you think it may be great to modify the docs in such a way that we can have multiple tabs for examples in Jax, Tensorflow or Pytorch or this is not necessary? For example, each tab will consist of examples written in a particular framework?

Hi @ENate, we currently already do that where appropriate with framework-specific code blocks such as the ones seen [here](https://huggingface.co/docs/transformers/quicktour#use-another-model-and-tokenizer-in-the-pipeline) :)

Okay right :) I was thinking about tabs for each framework. Like on clicking on the tab, someone using the docs can easily see the examples related to either TensorFlow or PyTorch. But thanks