Hugging Face
8 tracked releases
Hugging Face
Introducing Storage Buckets on the Hugging Face Hub
Hugging Face introduces Storage Buckets for managing ML artifacts.
This feature enhances the Hugging Face Hub by providing efficient storage solutions for intermediate ML artifacts, optimizing both speed and cost for users.
Hugging Face
Ulysses Sequence Parallelism: Training with Million-Token Contexts
Ulysses Sequence Parallelism enables training on million-token contexts.
This feature allows for efficient training of large language models on extensive sequences, crucial for tasks like document analysis and complex reasoning.
Hugging Face
LeRobot v0.5.0: Scaling Every Dimension
LeRobot v0.5.0 introduces full Unitree G1 humanoid support.
This release significantly expands LeRobot's capabilities, supporting more complex robotics tasks and improving real-world deployment responsiveness.
Hugging Face
Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines
Modular Diffusers allow building diffusion pipelines using reusable blocks.
This release provides developers with greater flexibility and customization in building AI workflows, enhancing efficiency and creativity.
Hugging Face
Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines
Modular Diffusers allows building diffusion pipelines using reusable blocks.
This release enhances flexibility and customization in building AI diffusion pipelines, making it easier for developers to tailor workflows to specific needs.
Hugging Face
Mixture of Experts (MoEs) in Transformers
Introduces Mixture of Experts (MoEs) in Transformers.
MoEs offer a way to scale models efficiently by using sparse architectures, enhancing performance without increasing computational costs significantly.
Hugging Face
One-Shot Any Web App with Gradio's gr.HTML
Gradio 6 introduces gr.HTML with support for custom templates, scoped CSS, and JavaScript interactivity.
This feature significantly simplifies the process of creating interactive web apps, allowing developers to build and deploy complex components quickly and efficiently.
Hugging Face
Custom Kernels for All from Codex and Claude
Hugging Face introduces an agent skill for coding agents to write CUDA kernels.
This release simplifies the complex process of writing and integrating CUDA kernels, making it accessible for developers to optimize AI models efficiently.