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gemini/getting-started/README.md· Open on GitHub · Part of Gemini Notebooks
Getting Started with Gemini
This directory contains notebooks that will help you get started with the Gemini family of models on Google Cloud.
Notebooks
- Intro to Gemini 2.0 Flash: Learn how to use the Gemini 2.0 Flash model with the Gemini API in Vertex AI and the Google Gen AI SDK for Python.
- Intro to Gemini 2.0 Flash-Lite: Learn how to use the Gemini 2.0 Flash-Lite model, our fastest and most cost-efficient Flash model.
- Gemini 2.0 Flash Image Generation in Vertex AI: Learn how to use Gemini 2.0 Flash for image generation and editing in Vertex AI.
- Gemini 2.0 Flash Image Generation in Vertex AI with REST API: Learn how to use the Gemini 2.0 Flash for image generation and editing in Vertex AI using the REST API.
- Intro to Gemini 2.5 Flash: Learn how to use the Gemini 2.5 Flash model, a hybrid reasoning model with extended thinking capabilities.
- Intro to Gemini 2.5 Flash-Lite: Learn how to use Gemini 2.5 Flash-Lite, Google’s most cost-effective Gemini 2.5 model for high-volume workloads.
- Gemini 2.5 Flash Image (Nano Banana 🍌) Generation in Vertex AI: Learn how to use Gemini 2.5 Flash Image for image generation and conversational image editing.
- Gemini 3 Pro Image (Nano Banana Pro 🍌) Generation in Vertex AI: Learn how to use Gemini 3 Pro Image for image generation and multi-turn image editing.
- Intro to Gemini 2.5 Pro: Learn how to use Gemini 2.5 Pro, Google’s most advanced reasoning model, to solve complex problems.
- Getting Started with Chat with Gemini: Learn how to send chat prompts to the Gemini model using the Google Gen AI SDK for Python and LangChain.
- Getting Started with the Gemini API in Vertex AI with cURL / REST API: Learn how to use the Vertex AI REST API with cURL commands to interact with the Gemini 2.0 Flash model.
- Getting started with Gemini using Vertex AI in Express Mode: Learn how to use Vertex AI in Express Mode to quickly try out core generative AI features.
- Getting started with Google Generative AI using the Gen AI SDK: Learn about the key features of the Google Gen AI SDK for Python to get started with Google generative AI services and models.