ChipsKDnuggetsabout 3 hours ago
Local Video Summarization Pipeline: Processing Frames with SmolVLM2-2.2B
1 min read
SmolVLM2-2.2B-Instruct runs on 5.2 GB of GPU RAM, an RTX 3060, a MacBook Pro M2, or free Google Colab T4. It outperforms every existing 2B-scale model on the Video-MME benchmark. A local pipeline extracts frames, analyzes them in batches, and outputs structured JSON summaries including scene descriptions, key moments, and action items.
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