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Smolvlm2 500M Video Instruct

Developed by HuggingFaceTB
A lightweight multimodal model designed for analyzing video content, capable of processing video, image, and text inputs to generate text outputs.
Downloads 17.89k
Release Time : 2/11/2025

Model Overview

SmolVLM2-500M-Video is an efficient multimodal model that can process video, image, and text inputs to generate text outputs. It is suitable for tasks such as visual question answering, caption generation, and storytelling, making it ideal for edge devices with limited computational resources.

Model Features

Lightweight and Efficient
The model is compact, requiring only 1.8GB of GPU VRAM for video inference, making it suitable for edge devices with limited computational resources.
Multimodal Support
Supports processing video, image, and text inputs to generate text outputs, applicable to various multimodal tasks.
High Performance
Despite its small size, it performs robustly on complex multimodal tasks such as visual question answering and caption generation.

Model Capabilities

Visual Question Answering
Caption Generation
Storytelling
Text Transcription
Video Analysis
Image Analysis

Use Cases

Media Analysis
Video Content Description
Analyze video content and generate detailed descriptions.
Generate accurate video content descriptions
Image Comparison
Compare similarities between multiple images.
Identify and describe similarities between images
Content Generation
Storytelling
Generate narrative stories based on visual content.
Generate coherent storytelling
Caption Generation
Generate captions for videos or images.
Generate accurate captions
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