diff --git a/community-content/vertex_pipeline_kfpv2/evaluate-model.py b/community-content/vertex_pipeline_kfpv2/evaluate-model.py
new file mode 100644
index 000000000..baebee9ac
--- /dev/null
+++ b/community-content/vertex_pipeline_kfpv2/evaluate-model.py
@@ -0,0 +1,34 @@
+from kfp.v2 import dsl
+
+@dsl.component(base_image='python:3.8',packages_to_install=['google-cloud-aiplatform==1.36.0'])
+def evaluate_model(
+    model_name: str,
+    project_id: str,
+    location: str,
+    data_uris: str,
+):
+    from google.cloud import aiplatform
+
+    aiplatform.init(
+        project=project_id,
+        location=location,
+    )
+    experiment_model = aiplatform.get_experiment_model(model_name)
+    lr_model = experiment_model.load_model()
+    evaluate_job = lr_model.evaluate(
+        prediction_type="regression",
+        target_field_name="type",
+        data_source_uris=[data_uris],
+        staging_bucket="gs://model-bucket/evaluation",
+    )
+    evaluate_job.wait()
+
+@dsl.pipeline(name='model-evaluation')
+def pipeline_evaluation():
+    evaluate_model("lr-model", "990000000009", "us-west1", "gs://path/to/evaluation_dataset.csv")
+
+if __name__ == "__main__":
+    from kfp.v2 import compiler
+    compiler.Compiler().compile(
+        pipeline_func=pipeline_evaluation,
+        package_path='evaluate_model.json')
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