Introduction to Graph Machine Learning
In this blog post, we cover the basics of graph machine learning. We first study what graphs are, why they are used, and how best to represent them. We then cover briefly how people learn on graphs, from pre-neural methods (exploring graph features at the same time) to what are commonly called Graph Neural Networks. Lastly, we peek into the world of
Read moreAI for Game Development: Creating a Farming Game in 5 Days. Part 2
Welcome to AI for Game Development! In this series, we’ll be using AI tools to create a fully functional farming game in just 5 days. By the end of this series, you will have learned how you can incorporate a variety of AI tools into your game development workflow. I will show you how you can use AI tools for: Art Style
Read moreImage Similarity with Hugging Face Datasets and Transformers
In this post, you’ll learn to build an image similarity system with 🤗 Transformers. Finding out the similarity between a query image and potential candidates is an important use case for information retrieval systems, such as reverse image search, for example. All the system is trying to answer is that, given a query image
Read moreWelcome PaddlePaddle to the Hugging Face Hub
We are happy to share an open source collaboration between Hugging Face and PaddlePaddle on a shared mission to advance and democratize AI through open source! First open sourced by Baidu in 2016, PaddlePaddle enables developers of all skill levels to adopt and implement Deep Learning at scale. As of Q4 2022, PaddlePaddle is being used by more than 5.35 million developers
Read moreUniversal Image Segmentation with Mask2Former and OneFormer
This guide introduces Mask2Former and OneFormer, 2 state-of-the-art neural networks for image segmentation. The models are now available in 🤗 transformers, an open-source library that offers easy-to-use implementations of state-of-the-art models. Along the way, you’ll learn about the difference between the various forms of image segmentation. Image segmentation Image segmentation is the task of identifying different “segments” in an image, like people or cars. More technically, image segmentation is the task of grouping pixels with different semantics.
Read more3D Asset Generation: AI for Game Development #3
Welcome to AI for Game Development! In this series, we’ll be using AI tools to create a fully functional farming game in just 5 days. By the end of this series, you will have learned how you can incorporate a variety of AI tools into your game development workflow. I will show you how you can use AI tools for: Art Style
Read moreOptimum + ONNX Runtime: Easier, Faster training for your Hugging Face models
Transformer based models in language, vision and speech are getting larger to support complex multi-modal use cases
Read moreUsing LoRA for Efficient Stable Diffusion Fine-Tuning
LoRA: Low-Rank Adaptation of Large Language Models is a novel technique introduced by Microsoft researchers to deal with the problem of fine-tuning large-language models. Powerful models with billions of parameters, such as GPT-3, are prohibitively expensive to
Read more