Generating scoring.py for azure ml model deployment

I am very interested to know how to do this for a real time deployment of a large language model like GPT4All. I have the binary file and registered the model but don't how to deploy / create the endpoint. Is the scoring file the same as a Machine Learning .pkl file?

See this link:
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-managed-online-endpoints?tabs=azure-cli#understand-the-scoring-script

See this other thread as well:
https://learn.microsoft.com/en-us/answers/questions/713048/azure-ml-how-should-my-score-script-look-like-to-d.html

In my case, using Automated ML, I was able to download the scoring script by clicking on the model (yolov5 in my case) then clicking download
@I am Beginner

@Yuzu

Hello,

Thanks for reaching out to us. Please follow below documentation to define your entry script after you registered your model.

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where?tabs=azcli#define-a-dummy-entry-script

Please start with define a dummy entry and do the steps after.

Hope this will help. Please let us know if any further queries.

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