The AI community's home for models, datasets, and Spaces
Hugging Face Spaces now fully supports Gradio 4, enabling developers to build more advanced and user-friendly AI demos with new UI and accessibility features.
Hugging Face introduces Quantization-Aware Training support in the transformers library for more efficient model inference.
Hugging Face Spaces now features improved Git integration, simplifying version control and collaborative development.
New embedding models are now available on Hugging Face, boosting capabilities for semantic search and related AI applications.
Hugging Face enhances its Inference API with new, optimized endpoints to support faster and more efficient model serving for real-time applications.
Hugging Face introduces Stable Diffusion 3 Medium, a new text-to-image model featuring a Diffusion Transformer architecture for enhanced quality and prompt following.
Hugging Face's `transformers` library version 4.35.0 is out, featuring better Llama 2 support and new model integrations.
Hugging Face Hub now supports Model Organizations, enabling teams to collaboratively manage and control access to AI models.
Hugging Face Spaces introduces new real-time features to boost collaborative development and deployment of ML applications.
Meta's latest open-source LLMs, Llama 3 8B and 70B, are now available on Hugging Face for broad access and use.
Hugging Face introduces a new 'Community Spotlight' series to showcase innovative projects and use cases developed by its user community.
Hugging Face Inference Endpoints now support auto-scaling and a broader selection of instance types for improved deployment flexibility and cost management.
The Hugging Face Model Card Toolkit has been updated with new features to improve model documentation, promoting transparency and responsible AI.
Hugging Face Spaces now allows deployment using custom Docker images, offering greater flexibility and control over application environments.
Hub crosses 800K models — 200K added in last 6 months.
llama.cpp creators join Hugging Face — securing local AI future.
TGI 3.0: 40% throughput gain, MoE support, speculative decoding.