Add scripts for remote_inference #4
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chtyim
reviewed
Apr 2, 2024
| There are two scripts based whether the input data is in an object table or a native BigQuery table. | ||
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| ## Object table script | ||
| The object table script creates a target table to store successful annotations. To do this, it calls the inference in a loop. In the first iteration, a small LIMIT is set on the inference call to quickly create a table with the desired schema. The number of rows to process for each inference call can be modified through the batch_size parameter. |
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It's not just for annotations, but for the result of the ML operation.
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nit: Use "`" to quote the batch_size to make it clear it's a code parameter.
| This script applies to the following models: | ||
| - ML.ANNOTATE_IMAGE | ||
| - ML.PROCESS_DOCUMENT | ||
| - ML.TRANSCRIBE |
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Also for the ML.GENERATE_TEXT with the vision model.
| ml_query | ||
| DEFAULT | ||
| FORMAT( | ||
| "SELECT %s, text AS content FROM `%s`", ARRAY_TO_STRING(key_columns, ','), source_table); |
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For the default, probably simpler to just have it as:
DECLARE ml_query DEFAULT "SELECT *, /* ML operation dependent field */ FROM `" || source_table || "`";
chtyim
approved these changes
Apr 2, 2024
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The README.md includes instructions to run the scripts. There are four scripts in total. Two are for object tables and the other two are for structured tables.