raptor-ml / raptor

Transform your pythonic research to an artifact that engineers can deploy easily.

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[FEEDBACK] Create new "Getting started" notebook

AlmogBaku opened this issue · comments

Background

The new version introduced a few changes both to the API and the story:

  1. Take your model end-to-end to production. including the model serving (using bento and sagemaker)
  2. simpler api
  3. support previous versions
  4. much more

You can see the API here https://github.com/raptor-ml/raptor/tree/master/labsdk/_test

What do you propose to do?

We need the getting started notebook to reflect these changes, and provide an end-to-end example

What have you already tried?

No response

What else should we know?

No response