Mastering Google's PaliGemma VLM: Tips and Tricks for Success and Fine-Tuning
Offered By: Sam Witteveen via YouTube
Course Description
Overview
Explore Google's Vision Language Model PaliGemma in this informative video tutorial. Learn about the model's architecture, capabilities, and applications through a comprehensive overview of PaLI-3 and SigLIP papers. Discover the three pre-trained checkpoints, various sizes, and releases of PaliGemma. Gain hands-on experience with a Hugging Face Spaces demo and explore ScreenAI datasets. Dive into practical coding sessions, focusing on using PaliGemma with Transformers and fine-tuning techniques. Access provided resources, including Colab notebooks for inference and fine-tuning, to enhance your understanding and implementation of this powerful vision language model.
Syllabus
Intro
What is PaliGemma?
PaLI-3 Paper
SigLIP Paper
Hugging Face Blog: PaliGemma
PaliGemma: Three Pre-trained Checkpoints
PaliGemma different Sizes and Releases
PaliGemma Hugging Face Spaces Demo
ScreenAI Datasets
Code Time
Using PaliGemma with Transformers
PaliGemma Finetuning
Taught by
Sam Witteveen
Related Courses
TensorFlow: Working with NLPLinkedIn Learning Introduction to Video Editing - Video Editing Tutorials
Great Learning via YouTube HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning
Python Engineer via YouTube GPT3 and Finetuning the Core Objective Functions - A Deep Dive
David Shapiro ~ AI via YouTube How to Build a Q&A AI in Python - Open-Domain Question-Answering
James Briggs via YouTube