Hugging Face's new FastRTC library enables Python developers to build real-time voice and video AI applications in just a few lines of code.

You’ll learn how to transform simple text prompts into detailed images by leveraging the state-of-the-art Stable Diffusion model and GPU acceleration ... this tutorial demonstrated how to integrate ...

Diffusion models are a relatively recent addition to a group of algorithms known as 'generative models'. The goal of generative modeling is to learn to generate data, such as images or audio ... for ...

Once installed, the SkyBox NX 18 allows easy access from either side of the car, and its newly redesigned dimensions (a change from the previous model ... Maui Jim lists face shape as part ...

Welcome to Unit 2 of the Hugging Face ... train a model from scratch can become impractical. Fortunately, there is a solution: begin with a model that has already been trained! This way we start from ...

Bambusi is a small business that specializes in quality made home products. Promising review: "Surprisingly sturdy and well made. Assembly and construction is excellent, and the a ...

Hugging Face has teamed up with startup Yaak to expand the former's LeRobot platform with training data for self-driving ...

Training LLMs on GPU Clusters, an open-source guide that provides a detailed exploration of the methodologies and ...

AI needs to question its training data and take counterintuitive approaches, the top scientist at Hugging Face wrote on X.

But if you want to fully control the large language model experience, the best way is to integrate Python and Hugging Face APIs together. The files Python requires to run your LLM locally can be found ...

But Thomas Wolf, Hugging Face’s co-founder and chief science officer, has a more measured take. In an essay published to X on Thursday, Wolf said that he feared AI becoming “yes-men on servers ...