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Signed-off-by: Angel Luu <angel.luu@us.ibm.com>
Signed-off-by: Angel Luu <angel.luu@us.ibm.com>
docs/quickstart.md
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| ## Build and start a runtime server with sample_lib | ||
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| Run the `start_runtime_with_sample_lib` python script: |
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Is it worth duplicating the information that we have in the Caikit examples README? If we want to add more information, I feel we should add it to that readme instead of duplicating it here? That would make this doc pretty small though
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Otherwise with the API changes that are incoming, we'll have to make changes to 2 places 😢
docs/quickstart.md
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| ### To use the REST Server for inference | ||
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| - In a browser of choice, visit `http://localhost:8080/docs/`. All the available inference rpcs are listed. Expand on the correct task for the model you trained. In this example, we are using `api/v1/{model_id}/task/sample`. |
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@anhuong had a question about why we use the /task/sample API to make inference calls after we train a Sample Module. I guess it's worth mentioning that somewhere
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We need to assume a user doesn't have much idea what a Module is
Signed-off-by: Angel Luu <angel.luu@us.ibm.com>
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Add a quick start on how to stand up a runtime server with
sample_liband how to send some basic train and inference requests