replaced placeholders

willisc7 · Jan 27, 2025 · a9d1a47 · a9d1a47
1 parent e804e20
commit a9d1a47
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Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/gemini/tuning/genai-mlops-tune-and-eval/pipeline.py b/gemini/tuning/genai-mlops-tune-and-eval/pipeline.py
@@ -248,15 +248,15 @@ def rank_responses(instruction: str, context: str, responses: list[str]) -> tupl
 
 @dsl.pipeline(name="gemini-tuning-pipeline")
 def gemini_tuning_pipeline(
-    project: str = "genai-mlops-tune-and-eval",
-    location: str = "us-central1",
+    project: str = "YOUR_PROJECT_ID",
+    location: str = "YOUR_REGION",
     source_model_name: str = "gemini-1.5-pro-002",
     train_data_uri: str = "gs://github-repo/generative-ai/gemini/tuning/mlops-tune-and-eval/patient_1_glucose_examples.jsonl",
     # For first run, set `baseline_model_endpoint`` to any tunable Gemini model
     # because a tuned model endpoint doesn't exist yet
     baseline_model_endpoint: str = "gemini-1.5-pro-002",
     # For subsequent runs, set baseline_model_endpoint to a tuned model endpoint
-    # baseline_model_endpoint: str = "projects/824264063118/locations/us-central1/endpoints/797393320253849600",
+    # baseline_model_endpoint: str = "projects/824264063118/locations/YOUR_REGION/endpoints/797393320253849600",
 ) -> None:
     """Defines the pipeline to tune a model and compare it to the previously tuned model"""
     tuning_task = gemini_tuning_component(

diff --git a/gemini/tuning/genai-mlops-tune-and-eval/submit_pipeline_job.py b/gemini/tuning/genai-mlops-tune-and-eval/submit_pipeline_job.py
@@ -1,16 +1,16 @@
 from google.cloud import aiplatform
 
 aiplatform.init(
-    project="genai-mlops-tune-and-eval", location="us-central1"
+    project="YOUR_PROJECT_ID", location="YOUR_REGION"
 )  # Initialize the Vertex AI SDK
 
 job = aiplatform.PipelineJob(
     display_name="tuned-gemini-1-5-pro-002",  # Give your run a name
     template_path="pipeline.json",  # Path to the compiled pipeline JSON
     pipeline_root="gs://vertex-ai-pipeline-root-20250116",  # Cloud Storage location for pipeline artifacts
     parameter_values={
-        "project": "genai-mlops-tune-and-eval",
-        "location": "us-central1",
+        "project": "YOUR_PROJECT_ID",
+        "location": "YOUR_REGION",
         "source_model_name": "gemini-1.5-pro-002",
         "train_data_uri": "gs://github-repo/generative-ai/gemini/tuning/mlops-tune-and-eval/patient_1_glucose_examples.jsonl",
     },  # Pass pipeline parameter values here