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When creating an InferenceService, I think it would be more intuitive to have this example as a plain YAML InferenceService so that people can see how to use it outside a Python client. I'm pretty sure that most of the MLOps folks will use InferenceService YAML files instead of programmatically creating an InferenceService.
I'm just throwing this out as an idea that came up in a discussion with @tarilabs; feel free to close this issue if you don't think that is a good idea.
The text was updated successfully, but these errors were encountered:
It's an interesting thought. I think ti'll be great to add some yaml files to the documentation as example. Myself I'm going through that process as well.
but I'd love to hear from the rest of the community as well.
A suggestion for https://www.kubeflow.org/docs/components/model-registry/getting-started/#using-model-registry-custom-storage-initializer:
When creating an InferenceService, I think it would be more intuitive to have this example as a plain YAML
InferenceService
so that people can see how to use it outside a Python client. I'm pretty sure that most of the MLOps folks will use InferenceService YAML files instead of programmatically creating anInferenceService
.I'm just throwing this out as an idea that came up in a discussion with @tarilabs; feel free to close this issue if you don't think that is a good idea.
The text was updated successfully, but these errors were encountered: