Hi there, I am tying to use make use of the  Bulkinferrer by loading pushed_model from a different run/pipeline. Since they are from different runs, i cannot simply feed bulkinferrer with model = trainer.outputs['model'] .
I can find the pushed_model from the differnt pipeline, however, the pushed_model directly fetched from mlmd is of type ml_metadata.proto.metadata_store_pb2.Artifact , if i feed this into the Bulkinferrer i got Argument model should be a Channel of type <class 'tfx.types.standard_artifacts.Model'>.
My question is how can i make use of the mlmd metadata and load the pushed_model into the Bulkinferrer from a different run/pipeline?
Thanks a lot for your help.