Python models Dataproc Serverless setup with packages

[LouisAuneau]

Add description on how to setup python models with Dataproc Serverless using a custom image in order to use third-party packages.

What are you changing in this pull request and why?

In the context of running Python models in Spark using Dataproc, the documentation (python-models.md) says:

Installing packages: If you are using a Dataproc Cluster (as opposed to Dataproc Serverless), you can add third-party packages while creating the cluster.

I dug and found it is possible to run python models using third-party packages in dataproc serverless. It requires to use a custom docker image. This is very well documented on GCP's end. We currently run this in prod without any issue. I added this in the documentation. Let me know if you need more details on how to set this up.

Checklist

• Review the Content style guide so my content adheres to these guidelines.
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• Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch."

Adding or removing pages (delete if not applicable):
N/A

[welcome]

Hello!👋 Thanks for contributing to the dbt product documentation and opening this pull request! ✨
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[matthewshaver]

Thank you @LouisAuneau ! Just waiting for an SME on our side to review. Hope to have that shortly