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Uses models to do local and remote inference. A RunInference transform performs inference on a PCollection of examples using a machine learning (ML) model. The transform outputs a PCollection that contains the input examples and output predictions. Avaliable in Apache Beam 2.40.0 and later versions.

For more information about Beam RunInference APIs, see the About Beam ML page and the RunInference API pipeline examples.


The following examples show how to create pipelines that use the Beam RunInference API to make predictions based on models.

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