A group of developers at Hugging Face say that they've built an 'open' version of OpenAI's deep research tool.
DeepSeek-R1 expands across Nvidia, AWS, GitHub, and Azure, boosting accessibility for developers and enterprises.
The nonprofit AI safety org MLCommons has teamed up with Hugging Face to release a public domain dataset of speech recordings ...
Hugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, ...
Learn how to fine-tune DeepSeek R1 for reasoning tasks using LoRA, Hugging Face, and PyTorch. This guide by DataCamp takes ...
Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its ...
Hugging Face said that these models can be loaded directly to transformers, Machine Learning Exchange (MLX), and Open Neural ...
While DeepSeek-R1 model weights are available in the public domain, the datasets and code used to train the model are not.
Hugging Face's new SmolVLM models run on smartphones, outperform larger systems and slash computing costs by 300X.
The initiative comes after R1 stunned the artificial intelligence community by matching the performance of the most capable models built by U.S. firms, despite being built at a fraction of the cost.
AI developers can now directly access selected serverless inference providers on Hugging Face. This should not incur any ...
Thomas Wolf, co-founder of Hugging Face, said the next great artificial intelligence applications will be less about models ...