A Comprehensive Tutorial on Using SmolVLM2 for Image and Video Analysis

In this tutorial, we will explore how to use the SmolVLM2–2.2B-Instruct model, a powerful vision-language model developed by Hugging Face, to analyze and describe images and videos. We will walk through the entire process, from setting up the environment to generating detailed descriptions of visual content. By the end of this tutorial, you will be able to leverage this model for your own image and video analysis tasks.

Table of Contents

1. Introduction
2. Setting Up the Environment
3. Loading the SmolVLM2 Model
4. Analyzing Images
5. Analyzing Videos
6. Conclusion

1. Introduction

SmolVLM2–2.2B-Instruct is a state-of-the-art vision-language model designed to understand and generate text based on visual inputs. It can analyze images and videos, providing detailed descriptions and insights. This model is particularly useful for tasks such as image captioning, video summarization, and visual question answering.

In this tutorial, we will use the model to:

• Analyze an image and generate a description.
• Analyze a video and describe its content.