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Hugging Face Releases nanoVLM: A Pure PyTorch Library to Train a Vision-Language Model from Scratch in 750 Lines of Code

  • 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.

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