Hugging Face's new Inference Providers feature is designed to make it easier for devs to run AI models using the hardware of ...

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 Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its ...

Using real-time in-cab driver monitoring and collision alerts based on computer vision technology, Motive is boosting the safety of commercial vehicle fleets, and the cost of insurance.

Barely a week after DeepSeek released its R1 “reasoning” AI model — which sent markets into a tizzy — researchers at Hugging Face are trying to replicate the model from scratch in what they’re calling ...

Hugging Face's new SmolVLM models run on smartphones, outperform larger systems and slash computing costs by 300X.

While DeepSeek-R1 model weights are available in the public domain, the datasets and code used to train the model are not.

AI developers can now directly access selected serverless inference providers on Hugging Face. This should not incur any ...

Now, 50,000 organizations, including Google and Microsoft, store models and data sets on Hugging Face. The company positions itself as the industry's Switzerland, a neutral platform available to ...

Hugging Face said that these models can be loaded directly to transformers, Machine Learning Exchange (MLX), and Open Neural ...