--- title: Building Multimodal AI Applications with Gemma 4 and... description: A hands-on tutorial covering how to build multimodal AI applications using Google's Gemma 4 model with Hugging Face Transformers. The guide walks through six... canonical: https://daily.dev/posts/building-multimodal-ai-applications-with-gemma-4-and-transformers-eyuk1yqbe twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Building Multimodal AI Applications with Gemma 4 and Transformers | daily.dev og:description: A hands-on tutorial covering how to build multimodal AI applications using Google's Gemma 4 model with Hugging Face Transformers. The guide walks through six... og:url: https://daily.dev/posts/building-multimodal-ai-applications-with-gemma-4-and-transformers-eyuk1yqbe og:image: https://api.daily.dev/og/posts/EYUk1YQBe.png og:image:alt: Building Multimodal AI Applications with Gemma 4 and Transformers og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Building Multimodal AI Applications with Gemma 4 and Transformers **[PyImageSearch](https://daily.dev/sources/pyimagesearch)** · 33 min read · 0 upvotes · 0 comments ## Summary A hands-on tutorial covering how to build multimodal AI applications using Google's Gemma 4 model with Hugging Face Transformers. The guide walks through six practical tasks: screenshot-to-HTML code generation, video understanding with audio extraction, multimodal function calling (tool use), object detection with bounding box visualization, image captioning, and audio understanding. All tasks share a consistent four-step pipeline — define the multimodal message, process inputs, generate outputs, decode and parse — making it straightforward to switch between modalities. Key implementation details include using AutoModelForMultimodalLM and AutoProcessor, enabling thinking mode for reasoning-heavy tasks, deterministic decoding for structured outputs, and parsing JSON bounding box predictions from model responses. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Gemma 4 12B Enables On-Device, Multimodal Agentic Workflows with an Encoder-free Architecture](https://daily.dev/posts/gemma-4-12b-enables-on-device-multimodal-agentic-workflows-with-an-encoder-free-architecture-wieojqluc) · InfoQ · 1 upvotes · 0 comments - [Hacking with multimodal Gemma 4 in AI Studio](https://daily.dev/posts/hacking-with-multimodal-gemma-4-in-ai-studio-udqmc51go) · DEV · 2 upvotes · 0 comments - [Welcome Gemma 4: Frontier multimodal intelligence on device](https://daily.dev/posts/welcome-gemma-4-frontier-multimodal-intelligence-on-device-mkjiapoth) · Hugging Face · 8 upvotes · 3 comments - [Multimodal Browser AI with Transformers.js for Images and Speech](https://daily.dev/posts/multimodal-browser-ai-with-transformers-js-for-images-and-speech-n61aoocbh) · Machine Learning Mastery · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#computer-vision](https://daily.dev/tags/computer-vision), [#multimodal](https://daily.dev/tags/multimodal), [#gemma](https://daily.dev/tags/gemma) [View this post on daily.dev](https://daily.dev/posts/building-multimodal-ai-applications-with-gemma-4-and-transformers-eyuk1yqbe) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Building Multimodal AI Applications with Gemma 4 and Transformers","url":"https://daily.dev/posts/building-multimodal-ai-applications-with-gemma-4-and-transformers-eyuk1yqbe","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/building-multimodal-ai-applications-with-gemma-4-and-transformers-eyuk1yqbe"},"datePublished":"2026-07-12T17:30:37.067Z","dateModified":"2026-07-16T17:17:44.945Z","description":"A hands-on tutorial covering how to build multimodal AI applications using Google's Gemma 4 model with Hugging Face Transformers. 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