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nanoVLM: Building Vision-Language Models from Scratch
From Images to Words: A Real-World Scenario
Master LLM and Gen AI with 600+ Real Interview Questions
Imagine you’re using a smartphone app that can instantly describe what’s in front of your camera. You point it at a street scene, and it says, “A red car parked beside a tree-lined sidewalk.” Behind this seamless interaction lies a complex interplay between computer vision and natural language processing.
Traditionally, creating such systems required vast resources and intricate codebases. But now, Hugging Face’s nanoVLM simplifies this process, allowing developers to build vision-language models with just 750 lines of PyTorch code.
Introducing nanoVLM: A Minimalist Vision-Language Model
nanoVLM is a lightweight, educational framework developed by Hugging Face that enables training a vision-language model (VLM) from scratch. Inspired by projects like nanoGPT, nanoVLM emphasizes readability and modularity without compromising on functionality. It’s designed for both researchers and…
