Hugging Face

Hugging Face is an open source machine learning platform that offers over 900,000 models, 200,000 datasets, and 300,000 demo applications. It helps developers, researchers, and enterprises easily build, deploy, and share AI applications through core libraries like Transformers, Diffusers, and the Hugging Face Hub. The platform supports a wide range of tasks such as natural language processing, computer vision, and audio processing, and has an active community and rich learning resources.

AI模型托管 Hugging Face Transformers 开发者社区

2026年4月15日 504 0

Open LLM Leaderboard

Open LLM Leaderboard is a standardized evaluation platform on Hugging Face for tracking, ranking, and comparing the performance of various types of open source big language models and chatbots. It serves researchers, developers and community users by providing transparent and reproducible evaluation results through unified benchmarks (e.g. MMLU, HellaSwag). The platform supports model submission, public access to data and community discussion, and although it has been officially retired in March 2025, its historical data and evaluation methods are still informative.

Hugging Face Open LLM Leaderboard 大模型评测开源大语言模型

2026年4月15日 319 0