Hugging Face has released nanoVLM, a PyTorch-based framework for training vision-language models from scratch in just 750 lines of code.
nanoVLM is a compact and educational tool that offers a minimalist approach to vision-language modeling, emphasizing readability and modularity.
The framework combines a visual encoder, a language decoder, and a modality projection mechanism to bridge images and text, achieving competitive performance with efficient design.
nanoVLM is designed for educational use, reproducibility studies, and rapid prototyping, highlighting transparency and modularity for easy extension and experimentation.