fine-tuning-vision-language-models/

Module 1: Vision-Language Model Architectures

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VLM_tutorial.ipynb - Colab

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colab.research.google.com

VLM_tutorial.ipynb - Colab

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Image Encoders (ViT, SigLIP) & Projection Layers

Learning Objectives

•Vision Transformer (ViT) patch tokenization
•SigLIP vs CLIP encoders
•Linear vs MLP projection bridges

Module Outcome

Master the core concepts of vision-language model architectures.

Resources

VLM_tutorial.ipynb - Colab Vision Language Models Explained - Hugging Face Vision-Language Models Tutorial – Devansh’s Blog

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