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@bbalakriz
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This PR includes the following changes for both lab 1 and 2 of module 2

  • loading of model from a preconfigured local S3 storage
  • option to conditionally/dynamically choose between HF and S3 for model download in the pipeline
  • removed steps to setting up local s3 storage
  • added details on recipes and oneshot (in presentation).
  • added caveat for consulting to not do any quantizations without existing recipes
  • added explanation of model evaluation results (in presentation)
  • pipeline upload and trigger using KFP REST APIs
  • updated all showroom notes with the new steps to follow based on the above updates.

@jhurlocker, please review. Thanks!

@jhurlocker
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Merged in changes with commit d08e2fe. @bbalakriz Please review the commit and generated showroom to make sure I got everything. Thanks!

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3 participants