mirror of
https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
synced 2026-09-26 14:42:04 +00:00
refactor, chore(egen): Removes boilerplate, heading fixes, and other corrections from template (#3101)
* Did required changes in prediction/llm_streaming_prediction.ipynb. Additionally, note that code is not executed as it may requried huge resources. * Removed hardcoded project name * Updated REGION to LOCATION * Updated notebook template * Removed unwated library and addded required variable to delete resources * Removed unwated comment as it was creating issue with linter test
This commit is contained in:
@@ -32,25 +32,27 @@
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"# Vertex AI LLM and streaming prediction\n",
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"\n",
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"<table align=\"left\">\n",
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" <td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official//prediction/llm_streaming_prediction.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Fprediction%2Fllm_streaming_prediction.ipynb\">\n",
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" <img width=\"32px\" src=\"https://cloud.google.com/ml-engine/images/colab-enterprise-logo-32px.png\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
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" </a>\n",
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" </td> \n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/prediction/llm_streaming_prediction.ipynb\">\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\"><br> Open in Workbench\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/prediction/llm_streaming_prediction.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
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" View on GitHub\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official//prediction/llm_streaming_prediction.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official//prediction/llm_streaming_prediction.ipynb\">\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
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" Open in Vertex AI Workbench\n",
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" </a>\n",
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" </td>\n",
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"</table>\n",
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"<br/><br/><br/>"
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"</table>"
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]
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},
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{
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@@ -127,157 +129,122 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "install_mlops"
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"id": "4b331e2fd155"
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||||
},
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"source": [
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"## Installations\n",
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"\n",
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"Install the packages required for executing this notebook."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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||||
"id": "NQ6SdFxji8ks"
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||||
},
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"outputs": [],
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"source": [
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"! pip3 install --upgrade --quiet google-cloud-aiplatform"
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"## Get Started"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "restart"
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"id": "a2c2cb2109a0"
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},
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"source": [
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"### Colab only: Uncomment the following cell to restart the kernel"
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"### Install Vertex AI SDK for Python and other required packages\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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||||
"id": "D-ZBOjErv5mM"
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"id": "24166b67eab5"
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},
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"outputs": [],
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"source": [
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"# Automatically restart kernel after installs so that your environment can access the new packages\n",
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"# import IPython\n",
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"\n",
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"# app = IPython.Application.instance()\n",
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"# app.kernel.do_shutdown(True)"
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"! pip3 install --upgrade --quiet google-cloud-aiplatform \\\n",
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" pandas"
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]
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},
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{
|
||||
"cell_type": "markdown",
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"metadata": {
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||||
"id": "yfEglUHQk9S3"
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"id": "ff555b32bab8"
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||||
},
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"source": [
|
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"## Before you begin\n",
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"### Restart runtime (Colab only)\n",
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"\n",
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"### Set your project ID\n",
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"\n",
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"**If you don't know your project ID**, try the following:\n",
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"* Run `gcloud config list`.\n",
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"* Run `gcloud projects list`.\n",
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"* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
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"To use the newly installed packages, you must restart the runtime on Google Colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "set_project_id"
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"id": "f09b4dff629a"
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},
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"outputs": [],
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"source": [
|
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"import sys\n",
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"\n",
|
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" import IPython\n",
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"\n",
|
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" app = IPython.Application.instance()\n",
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" app.kernel.do_shutdown(True)"
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]
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},
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||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "ee775571c2b5"
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||||
},
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"source": [
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"<div class=\"alert alert-block alert-warning\">\n",
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"<b>⚠️ The kernel is going to restart. Wait until it's finished before continuing to the next step. ⚠️</b>\n",
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"</div>\n"
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]
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||||
},
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||||
{
|
||||
"cell_type": "markdown",
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||||
"metadata": {
|
||||
"id": "92e68cfc3a90"
|
||||
},
|
||||
"source": [
|
||||
"### Authenticate your notebook environment (Colab only)\n",
|
||||
"\n",
|
||||
"Authenticate your environment on Google Colab.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "46604f70e831"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import sys\n",
|
||||
"\n",
|
||||
"if \"google.colab\" in sys.modules:\n",
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||||
"\n",
|
||||
" from google.colab import auth\n",
|
||||
"\n",
|
||||
" auth.authenticate_user()"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "4f872cd812d0"
|
||||
},
|
||||
"source": [
|
||||
"### Set Google Cloud project information and initialize Vertex AI SDK for Python\n",
|
||||
"\n",
|
||||
"To get started using Vertex AI, you must have an existing Google Cloud project and [enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com). Learn more about [setting up a project and a development environment](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)."
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]
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||||
},
|
||||
{
|
||||
"cell_type": "code",
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||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "6ddefefd807a"
|
||||
},
|
||||
"outputs": [],
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||||
"source": [
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"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
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"\n",
|
||||
"# Set the project id\n",
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"! gcloud config set project {PROJECT_ID} --quiet"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "region"
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||||
},
|
||||
"source": [
|
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"#### Region\n",
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"\n",
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||||
"You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
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]
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||||
},
|
||||
{
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||||
"cell_type": "code",
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"execution_count": null,
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"metadata": {
|
||||
"id": "region"
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||||
},
|
||||
"outputs": [],
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||||
"source": [
|
||||
"REGION = \"us-central1\" # @param {type: \"string\"}"
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]
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},
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||||
{
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||||
"cell_type": "markdown",
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||||
"metadata": {
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||||
"id": "gcp_authenticate"
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||||
},
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||||
"source": [
|
||||
"### Authenticate your Google Cloud account\n",
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||||
"\n",
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||||
"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below.\n",
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||||
"\n",
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||||
"**1. Vertex AI Workbench**\n",
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||||
"* Do nothing as you are already authenticated.\n",
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||||
"\n",
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||||
"**2. Local JupyterLab instance, uncomment and run:**"
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]
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||||
},
|
||||
{
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||||
"cell_type": "code",
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||||
"execution_count": null,
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||||
"metadata": {
|
||||
"id": "ce6043da7b33"
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||||
},
|
||||
"outputs": [],
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||||
"source": [
|
||||
"# ! gcloud auth login"
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]
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||||
},
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||||
{
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||||
"cell_type": "markdown",
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||||
"metadata": {
|
||||
"id": "0367eac06a10"
|
||||
},
|
||||
"source": [
|
||||
"**3. Colab, uncomment and run:**"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "21ad4dbb4a61"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# from google.colab import auth\n",
|
||||
"# auth.authenticate_user()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "c13224697bfb"
|
||||
},
|
||||
"source": [
|
||||
"**4. Service account or other**\n",
|
||||
"* See how to grant Cloud Storage permissions to your service account at https://cloud.google.com/storage/docs/gsutil/commands/iam#ch-examples."
|
||||
"LOCATION = \"us-central1\" # @param {type:\"string\"}"
|
||||
]
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||||
},
|
||||
{
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@@ -286,7 +253,7 @@
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"id": "bucket:mbsdk"
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||||
},
|
||||
"source": [
|
||||
"### Create a Cloud Storage bucket\n",
|
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"#### Create a Cloud Storage bucket\n",
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"\n",
|
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"Create a storage bucket to store intermediate artifacts such as datasets."
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]
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@@ -308,7 +275,7 @@
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"id": "autoset_bucket"
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||||
},
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"source": [
|
||||
"**Only if your bucket doesn't already exist**: Run the following cell to create your Cloud Storage bucket."
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||||
"**If your bucket doesn't already exist**: Run the following cell to create your Cloud Storage bucket."
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||||
]
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||||
},
|
||||
{
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@@ -319,7 +286,29 @@
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||||
},
|
||||
"outputs": [],
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||||
"source": [
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||||
"! gsutil mb -l {REGION} -p {PROJECT_ID} {BUCKET_URI}"
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"! gsutil mb -l {LOCATION} -p {PROJECT_ID} {BUCKET_URI}"
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]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "b7c2a8a91840"
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||||
},
|
||||
"source": [
|
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"#### Set Google Cloud project"
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]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
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"execution_count": null,
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||||
"metadata": {
|
||||
"id": "d72078ee9da2"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import vertexai\n",
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"\n",
|
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"vertexai.init(project=PROJECT_ID, location=LOCATION, staging_bucket=BUCKET_URI)"
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]
|
||||
},
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||||
{
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@@ -328,10 +317,7 @@
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"id": "setup_vars"
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||||
},
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||||
"source": [
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"### Set up variables\n",
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"\n",
|
||||
"Next, set up some variables used throughout the tutorial.\n",
|
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"### Import libraries and define constants"
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||||
"## Import libraries"
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||||
]
|
||||
},
|
||||
{
|
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@@ -342,32 +328,9 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import vertexai\n",
|
||||
"from vertexai.preview.language_models import TextGenerationModel"
|
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]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "init_aip:mbsdk"
|
||||
},
|
||||
"source": [
|
||||
"### Initialize Vertex AI SDK for Python\n",
|
||||
"\n",
|
||||
"Initialize the Vertex AI SDK for Python for your project and corresponding bucket."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "oiraqRwdooE0"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vertexai.init(project=PROJECT_ID, location=REGION, staging_bucket=BUCKET_URI)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
@@ -616,6 +579,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Tuning model\n",
|
||||
"! gsutil cp gs://cloud-samples-data/vertex-ai/prediction/llm/q_a_train_with_context.jsonl {BUCKET_URI}/q_a_train_with_context.jsonl\n",
|
||||
"\n",
|
||||
"tuning_job = model3.tune_model(\n",
|
||||
@@ -635,6 +599,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Make a prediction with the fine tuned model\n",
|
||||
"tuned_model = tuning_job.get_tuned_model()\n",
|
||||
"\n",
|
||||
"print(tuned_model.predict(\"Tell me some ideas combining VR and fitness:\"))"
|
||||
@@ -648,6 +613,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# List tuned model names\n",
|
||||
"model3.list_tuned_model_names()"
|
||||
]
|
||||
},
|
||||
@@ -659,6 +625,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Get tuned model\n",
|
||||
"tuned_model4 = model3.get_tuned_model(\n",
|
||||
" tuned_model_name=model3.list_tuned_model_names()[0]\n",
|
||||
")"
|
||||
@@ -672,6 +639,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Make a prediction with the fine tuned model\n",
|
||||
"print(tuned_model4.predict(\"Brainstorm some ideas combining VR and fitness:\"))"
|
||||
]
|
||||
},
|
||||
@@ -722,6 +690,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Tune pretrained model\n",
|
||||
"model4 = TextGenerationModel.from_pretrained(\"google/text-bison@001\")\n",
|
||||
"\n",
|
||||
"tuning_job = model4.tune_model(\n",
|
||||
@@ -741,6 +710,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Make a prediction with the fine tuned model\n",
|
||||
"tuned_model = tuning_job.get_tuned_model()\n",
|
||||
"\n",
|
||||
"print(tuned_model.predict(\"Tell me some ideas combining VR and fitness:\"))"
|
||||
@@ -763,14 +733,14 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"delete_bucket = False\n",
|
||||
"\n",
|
||||
"# Delete job\n",
|
||||
"batch_job_1.delete()\n",
|
||||
"batch_job_2.delete()\n",
|
||||
"\n",
|
||||
"delete_bucket = False\n",
|
||||
"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
|
||||
" ! gsutil rm -rf {BUCKET_URI}"
|
||||
"if delete_bucket:\n",
|
||||
" ! gsutil -m rm -r $BUCKET_URI"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
Reference in New Issue
Block a user