@@ -111,7 +111,7 @@ def test_create_load_multimodal_embedding_generator_model(
111111 "gemini-1.5-pro-preview-0514" ,
112112 "gemini-1.5-flash-preview-0514" ,
113113 "gemini-1.5-pro-001" ,
114- # "gemini-1.5-pro-002",
114+ "gemini-1.5-pro-002" ,
115115 "gemini-1.5-flash-001" ,
116116 "gemini-1.5-flash-002" ,
117117 "gemini-2.0-flash-exp" ,
@@ -146,7 +146,7 @@ def test_create_load_gemini_text_generator_model(
146146 "gemini-1.5-pro-preview-0514" ,
147147 "gemini-1.5-flash-preview-0514" ,
148148 "gemini-1.5-pro-001" ,
149- # "gemini-1.5-pro-002",
149+ "gemini-1.5-pro-002" ,
150150 "gemini-1.5-flash-001" ,
151151 "gemini-1.5-flash-002" ,
152152 "gemini-2.0-flash-exp" ,
@@ -173,7 +173,7 @@ def test_gemini_text_generator_predict_default_params_success(
173173 "gemini-1.5-pro-preview-0514" ,
174174 "gemini-1.5-flash-preview-0514" ,
175175 "gemini-1.5-pro-001" ,
176- # "gemini-1.5-pro-002",
176+ "gemini-1.5-pro-002" ,
177177 "gemini-1.5-flash-001" ,
178178 "gemini-1.5-flash-002" ,
179179 "gemini-2.0-flash-exp" ,
@@ -202,7 +202,7 @@ def test_gemini_text_generator_predict_with_params_success(
202202 "gemini-1.5-pro-preview-0514" ,
203203 "gemini-1.5-flash-preview-0514" ,
204204 "gemini-1.5-pro-001" ,
205- # "gemini-1.5-pro-002",
205+ "gemini-1.5-pro-002" ,
206206 "gemini-1.5-flash-001" ,
207207 "gemini-1.5-flash-002" ,
208208 "gemini-2.0-flash-exp" ,
@@ -233,7 +233,7 @@ def test_gemini_text_generator_multi_cols_predict_success(
233233 "gemini-1.5-pro-preview-0514" ,
234234 "gemini-1.5-flash-preview-0514" ,
235235 "gemini-1.5-pro-001" ,
236- # "gemini-1.5-pro-002",
236+ "gemini-1.5-pro-002" ,
237237 "gemini-1.5-flash-001" ,
238238 "gemini-1.5-flash-002" ,
239239 "gemini-2.0-flash-exp" ,
@@ -756,7 +756,7 @@ def test_text_embedding_generator_retry_no_progress(session, bq_connection):
756756@pytest .mark .parametrize (
757757 "model_name" ,
758758 (
759- # "gemini-1.5-pro-002",
759+ "gemini-1.5-pro-002" ,
760760 "gemini-1.5-flash-002" ,
761761 "gemini-2.0-flash-001" ,
762762 "gemini-2.0-flash-lite-001" ,
@@ -786,7 +786,7 @@ def test_llm_gemini_score(llm_fine_tune_df_default_index, model_name):
786786@pytest .mark .parametrize (
787787 "model_name" ,
788788 (
789- # "gemini-1.5-pro-002",
789+ "gemini-1.5-pro-002" ,
790790 "gemini-1.5-flash-002" ,
791791 "gemini-2.0-flash-001" ,
792792 "gemini-2.0-flash-lite-001" ,
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