something with the annotations

return annotationsIf you're running in a cloud environment, you can manually export the annotations, store them somewhere in a cloud environment and then reference or use those within ZenML. The precise way you do this will be very case-dependent, however, so it's difficult to provide a one-size-fits-all solution.

Prodigy Annotator Stack Component

Our Prodigy annotator component inherits from the BaseAnnotator class. There are some methods that are core methods that must be defined, like being able to register or get a dataset. Most annotators handle things like the storage of state and have their own custom features, so there are quite a few extra methods specific to Prodigy.

The core Prodigy functionality that's currently enabled from within the annotator stack component interface includes a way to register your datasets and export any annotations for use in separate steps.

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Last updated 19 days ago