Hugging Face makes it easier for devs to run AI models on third-party clouds
Hugging Face's new Inference Providers feature is designed to make it easier for devs to run AI models using the hardware of ...
MLCommons and Hugging Face team up to release massive speech dataset for AI research
The nonprofit AI safety org MLCommons has teamed up with Hugging Face to release a public domain dataset of speech recordings ...
DeepSeek's breakthrough emboldens open-source AI models like Meta's Llama
DeepSeek’s success represents a victory for open-source artificial intelligence models such as Meta’s Llama, industry experts ...
Hugging Face Is Trying to Build a Fully Open-Source Version of DeepSeek-R1 AI Model
While DeepSeek-R1 model weights are available in the public domain, the datasets and code used to train the model are not.
Hugging Face open-sources world’s smallest vision language model
Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its ...
Hugging Face Introduces Compact Versions of SmolVLM Vision Language Model That Can Run on Consumer Laptops
Hugging Face said that these models can be loaded directly to transformers, Machine Learning Exchange (MLX), and Open Neural ...
Hugging Face shrinks AI vision models to phone-friendly size, slashing computing costs
Hugging Face's new SmolVLM models run on smartphones, outperform larger systems and slash computing costs by 300X.
DeepSeek R1 is now available on Nvidia, AWS, and Github as available models on Hugging Face shoot past 3,000
DeepSeek-R1 expands across Nvidia, AWS, GitHub, and Azure, boosting accessibility for developers and enterprises.
Hugging Face offers serverless inferences by third parties, at no extra cost
AI developers can now directly access selected serverless inference providers on Hugging Face. This should not incur any ...
Hugging Face co-founder: The next step in AI will be applications
Thomas Wolf, co-founder of Hugging Face, said the next great artificial intelligence applications will be less about models ...
Hugging Face wants to reverse-engineer DeepSeek’s R1 reasoning model
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.
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Hugging Face releases visual language models 'Smolvlm-256m' and 'Smolvlm-500m' that run on laptops with less than 1GB of memory
AI development platform Hugging Face has released the smallest AI models capable of analyzing images, short videos, and text: ' SmolVLM-256M ' and ' SmolVLM-500M '. According to Hugging Face ...