Video Swin model adds to kerashub

[kernel-loophole]

• Added Video Swin backbone https://github.com/keras-team/keras-cv/tree/master/keras_cv/src/models/backbones/video_swin to kerasnlp models.
• Adapted configurations to allow multiple model versions under a single model with configurations handled via function arguments.
• Utilized KerasNLP's test routines for model verification.

#1755
@divyashreepathihalli

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[kernel-loophole]

Hi @divyashreepathihalli! I need some guidance on how to test this locally. Could you help me with the steps?

[kernel-loophole]

@divyashreepathihalli can you run test again.

[mattdangerw]

Higher level feedback for a start.

• Remove all "aliases," that's a CV pattern we did not continue. All arch configurations are stored in json files we upload to Kaggle/HF. The "aliases" is just the preset name you want to use.
• Follow the task setup we have in KerasHub. I am guessing for this model we want to add a VideoClassifier task that we can model heavily on ImageClassifier.
• Remove all instances of keras_cv whereever they are.
• Remove the presets stuff until presets are actually upload.

This will need a much more substantial rewrite to match the abstractions of KerasHub, rather than a more direct copy.

[kernel-loophole]

Thank you for the feedback. I will remove the aliases and replace them with the appropriate configurations stored in JSON files for Kaggle/HF. I'll follow the KerasHub task setup and create the VideoClassifier task based on the ImageClassifier model.