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Smolvlm2 256M Video Instruct Mlx
This is a video-text-to-text model converted based on the MLX framework, suitable for video understanding and instruction-following tasks.
Downloads 591
Release Time : 2/17/2025
Model Overview
This model is converted from HuggingFaceTB/SmolVLM2-256M-Video-Instruct and is specifically designed for interactive tasks between video and text. It can understand video content and generate corresponding text descriptions or answer related questions.
Model Features
Video Understanding Capability
Can understand video content and generate corresponding text descriptions.
Instruction Following
Can generate relevant text responses based on user-provided instructions.
Lightweight Model
With 256M parameters, it maintains performance while being highly efficient.
Model Capabilities
Video content understanding
Text generation
Instruction following
Multimodal processing
Use Cases
Video Analysis
Video Content Description
Generate detailed text descriptions based on video content.
Accurately describe scenes and actions in the video.
Video Question Answering
Answer specific questions about video content.
Provide accurate answers related to the video content.
Education
Educational Video Assistance
Generate subtitles or summaries for educational videos.
Help students better understand the video content.
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