在人工智能领域,图像和文本的紧密结合成为了多模态AI发展的重要趋势。1月26日,Hugging Face毫无疑问地在这一领域取得了新的突破,推出了两款全新的多模态模型——SmolVLM-256M和SmolVLM-500M。其中,SmolVLM-256M被称为世界上最小的视觉语言模型(Video Language Model),标志着多模态AI技术进入了一个新的时代。
IT之家 1 月 26 日消息,Hugging Face 发布了两款全新多模态模型 SmolVLM-256M 和 SmolVLM-500M,其中 SmolVLM-256M 号称是世界上最小的视觉语言模型(Video Language Model)。 据悉,相应模型主要基于 Hugging Face 团队去年训练的 ...
DeepSeek-R1 expands across Nvidia, AWS, GitHub, and Azure, boosting accessibility for developers and enterprises.
AI资源平台Hugging Face上周公布SmolVLM二款新多模态模型,SmolVLM-256M及SmolVLM-500M,前者号称是全球最小的多模态及影词组言模型(video language model,VML)。 Hugging ...
此外,我们也将探讨Hugging Face的Transformers库,一个强大的Python工具,助你快速调用、训练、应用与分享各种预训练的Transformer模型,包括BERT和GPT系列。
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...
Learn how to fine-tune DeepSeek R1 for reasoning tasks using LoRA, Hugging Face, and PyTorch. This guide by DataCamp takes ...
The model ranks well on main app stores and connects with DeepSeek's AI helper. High demand means that registration is only for Chinese phone numbers for now. Although Janus-Pro-7B is open-sourced ...