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change the model from gemini-2.0-flash-exp to gemini-1.5-flash-002
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‎bigframes/ml/llm.py‎

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@@ -934,12 +934,11 @@ class GeminiTextGenerator(base.RetriableRemotePredictor):
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The model for natural language tasks. Accepted values are "gemini-pro", "gemini-1.5-pro-preview-0514", "gemini-1.5-flash-preview-0514", "gemini-1.5-pro-001", "gemini-1.5-pro-002", "gemini-1.5-flash-001", "gemini-1.5-flash-002" and "gemini-2.0-flash-exp". Default to "gemini-pro".
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.. note::
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"gemini-pro" is going to be deprecated. Will change to gemini-2.0-X for Bigframes 2.
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"gemini-pro" is going to be deprecated. Bigframes 2 will transition to using gemini-2.0-X.
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"gemini-2.0-flash-exp", "gemini-1.5-pro-preview-0514" and "gemini-1.5-flash-preview-0514" is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
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Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
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and might have limited support. For more information, see the launch stage descriptions
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(https://cloud.google.com/products#product-launch-stages).
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"
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session (bigframes.Session or None):
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BQ session to create the model. If None, use the global default session.

‎notebooks/apps/synthetic_data_generation.ipynb‎

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"source": [
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"from bigframes.ml.llm import GeminiTextGenerator\n",
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"\n",
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"model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")"
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"model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")"
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]
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},
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{

‎notebooks/generative_ai/bq_dataframes_llm_code_generation.ipynb‎

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"source": [
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"from bigframes.ml.llm import GeminiTextGenerator\n",
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"\n",
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"model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")"
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"model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")"
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]
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},
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{

‎notebooks/generative_ai/bq_dataframes_llm_gemini_2.ipynb‎

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Create Gemini 2.0 experimental Model with model_name as \"gemini-2.0-flash-exp\""
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"### Create Gemini 2.0 experimental Model with model_name as \"gemini-1.5-flash-002\""
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/usr/local/google/home/garrettwu/src/bigframes/bigframes/ml/llm.py:803: PreviewWarning: Model gemini-2.0-flash-exp is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section of the\n",
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" Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available \"as is\"\n",
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" and might have limited support. For more information, see the launch stage descriptions\n",
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" (https://cloud.google.com/products#product-launch-stages).\n",
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" warnings.warn(\n",
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"/usr/local/google/home/garrettwu/src/bigframes/bigframes/pandas/__init__.py:435: DefaultLocationWarning: No explicit location is set, so using location US for the session.\n",
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" return global_session.get_global_session()\n"
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"/tmp/ipykernel_604828/1304092015.py:1: ApiDeprecationWarning: gemini-pro and gemini-1.5-X are going to be deprecated. Use gemini-2.0-X (https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.ml.llm.GeminiTextGenerator) instead. \n",
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" model = llm.GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")\n",
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"/usr/local/google/home/shuowei/src/python-bigquery-dataframes/bigframes/ml/llm.py:981: DefaultLocationWarning: No explicit location is set, so using location US for the session.\n",
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" self.session = session or global_session.get_global_session()\n"
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]
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},
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{
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"data": {
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"text/html": [
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"Query job f673a2ea-023e-4771-84a2-fb81f808fa1b is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:f673a2ea-023e-4771-84a2-fb81f808fa1b&page=queryresults\">Open Job</a>"
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"Query job 3f32129b-5f71-4c08-b572-6c7eed201877 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:3f32129b-5f71-4c08-b572-6c7eed201877&page=queryresults\">Open Job</a>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"Query job 5fb1fa6f-32aa-43c8-b002-c0c21caaaaca is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:5fb1fa6f-32aa-43c8-b002-c0c21caaaaca&page=queryresults\">Open Job</a>"
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"text/plain": [
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"<IPython.core.display.HTML object>"
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}
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],
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"source": [
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"model = llm.GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")"
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"model = llm.GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.14"
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"version": "3.10.15"
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}
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},
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"nbformat": 4,

‎notebooks/generative_ai/bq_dataframes_llm_kmeans.ipynb‎

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"source": [
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"from bigframes.ml.llm import GeminiTextGenerator\n",
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"\n",
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"q_a_model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")"
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"q_a_model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")"
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]
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},
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{

‎notebooks/generative_ai/bq_dataframes_ml_drug_name_generation.ipynb‎

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],
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"source": [
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"# Define the model\n",
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"model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")\n",
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"model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")\n",
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"\n",
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"# Invoke LLM with prompt\n",
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"response = predict(zero_shot_prompt, temperature = TEMPERATURE)\n",

‎notebooks/generative_ai/large_language_models.ipynb‎

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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/tmp/ipykernel_207955/1337909476.py:1: ApiDeprecationWarning: gemini-1.0-X and gemini-1.5-X are going to be deprecated. Use gemini-2.0-X (https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.ml.llm.GeminiTextGenerator) instead. \n",
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" model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")\n",
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"/usr/local/google/home/shuowei/src/python-bigquery-dataframes/bigframes/ml/llm.py:978: PreviewWarning: Model gemini-2.0-flash-exp is subject to the \"Pre-GA Offerings Terms\"\n",
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"in the General Service Terms section of the Service Specific\n",
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"Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products\n",
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"and features are available \"as is\" and might have limited support. For\n",
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"more information, see the launch stage descriptions\n",
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"(https://cloud.google.com/products#product-launch-stages).\n",
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" warnings.warn(msg, category=exceptions.PreviewWarning)\n",
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"/usr/local/google/home/shuowei/src/python-bigquery-dataframes/bigframes/ml/llm.py:980: DefaultLocationWarning: No explicit location is set, so using location US for the session.\n",
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"/tmp/ipykernel_604997/3896046356.py:1: ApiDeprecationWarning: gemini-pro and gemini-1.5-X are going to be deprecated. Use gemini-2.0-X (https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.ml.llm.GeminiTextGenerator) instead. \n",
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" model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")\n",
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"/usr/local/google/home/shuowei/src/python-bigquery-dataframes/bigframes/ml/llm.py:981: DefaultLocationWarning: No explicit location is set, so using location US for the session.\n",
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" self.session = session or global_session.get_global_session()\n"
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]
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},
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{
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"data": {
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"text/html": [
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"Query job 77cfcb56-5731-4403-a227-4ff09639a953 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:77cfcb56-5731-4403-a227-4ff09639a953&page=queryresults\">Open Job</a>"
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"Query job dd2da3cc-27c3-4c6f-9936-4f7769c85090 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:dd2da3cc-27c3-4c6f-9936-4f7769c85090&page=queryresults\">Open Job</a>"
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"text/plain": [
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"<IPython.core.display.HTML object>"
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{
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"data": {
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"text/html": [
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"Query job f4ede566-536f-4007-8948-30c3eb23711f is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:f4ede566-536f-4007-8948-30c3eb23711f&page=queryresults\">Open Job</a>"
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"Query job 00947011-4d7c-42fa-ae19-3b684976cec6 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:00947011-4d7c-42fa-ae19-3b684976cec6&page=queryresults\">Open Job</a>"
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"text/plain": [
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"<IPython.core.display.HTML object>"
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}
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],
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"source": [
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"model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")"
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"model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")"
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]
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},
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{

‎notebooks/getting_started/bq_dataframes_template.ipynb‎

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"source": [
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"# from bigframes.ml.llm import GeminiTextGenerator\n",
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"\n",
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"# model = GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")\n",
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"# model = GeminiTextGenerator(model_name=\"gemini-1.5-flash-002\")\n",
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"\n",
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"# pred = model.predict(df)\n",
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"# pred"

‎samples/snippets/gemini_model_test.py‎

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session = bpd.get_global_session()
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connection = f"{PROJECT_ID}.{REGION}.{CONN_NAME}"
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model = GeminiTextGenerator(
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session=session, connection_name=connection, model_name="gemini-2.0-flash-exp"
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session=session, connection_name=connection, model_name="gemini-1.5-flash-002"
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)
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df_api = bpd.read_csv("gs://cloud-samples-data/vertex-ai/bigframe/df.csv")

‎tests/system/load/test_llm.py‎

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@pytest.mark.flaky(retries=2)
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def test_llm_gemini_w_ground_with_google_search(llm_remote_text_df):
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model = llm.GeminiTextGenerator(model_name="gemini-2.0-flash-exp", max_iterations=1)
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model = llm.GeminiTextGenerator(model_name="gemini-1.5-flash-002", max_iterations=1)
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df = model.predict(
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llm_remote_text_df["prompt"],
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ground_with_google_search=True,

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