Hugging Face

The Hugging Face platform published a blog post yesterday (November 26) announcing the launch of the SmolVLM AI visual language model (VLM), with just 2 billion parameters for device-side reasoning, which stands out from its peers by virtue of its extremely low memory footprint. Officials say the SmolVLM AI model benefits from being small, fast, memory efficient, and completely open source, with all model checkpoints, VLM datasets, training recipes, and tools released under the Apache 2.0 license. SmolVLM AI ...

Recently, Runway suddenly and secretly deleted its code base from the Hugging Face platform, including the highly anticipated Stable Diffusion v1.5 project, which caused quite a stir in the technology community. Runway's behavior not only left no trace, but also did not notify Hugging Face or any community members. Even more shocking is that even the page on GitHub has become empty. This sudden change has undoubtedly caused trouble for developers and researchers who rely on these resources. ht…

Recently, Hugging Face, a well-known AI development platform, announced the acquisition of XetHub, a data storage and collaboration startup founded by former Apple engineers. This move will undoubtedly bring more convenience to AI developers and accelerate the democratization of artificial intelligence! The story of XetHub began in 2021 and was co-founded by former Apple engineers Yucheng Low, Rajat Arya, and Ajit Banerjee. This dynamic team, with the vision of simplifying the process of building machine learning and AI applications, quickly gained industry recognition…

Recently, the open source platform Hugging Face and NVIDIA announced an exciting new service, Inference-as-a-Service, which will be driven by NVIDIA's NIM technology. The launch of the new service allows developers to prototype more quickly, use open source AI models provided on the Hugging Face Hub, and deploy them efficiently. The news was announced at the ongoing SIGGRAPH2024 conference. This…

Nowadays, small language models are becoming more popular, and many manufacturers have begun to launch "small models" suitable for lightweight devices such as mobile phones. This week, Hugging Face announced the "SmolLM" small language model family, which includes 135 million, 360 million and 1.7 billion parameter models. According to reports, these models are said to be trained with carefully planned high-quality training data sets and are said to be quite powerful in Python programming performance. The team pointed out that they focused on optimizing the amount of RAM required by the model, "even on an iPhone with 6GB RAM...

Recently, Hugging Face launched a new AI tool - SmolLM. This is a series of high-performance small language models with parameters ranging from 135M to 1.7B, designed specifically for various devices and applications. Imagine that these small models can run efficiently on mobile phones and laptops, which is really cool! The characteristics of SmolLM models are small and powerful. They can still perform well with less computing resources and help users protect privacy. Hugging Face uses a tool called SmolLM-Corp when training these models...

According to The decoder report on Thursday, Clément Delangue, CEO of the open source AI community Hugging Face, said in an interview mid-month that more and more AI startup founders want to sell their companies, which may indicate that the AI market is about to see consolidation. On June 13, Hugging Face announced that it would acquire a small company called Argilla for $10 million (currently about RMB 72.819 million)…

Hugging Face, the world's largest open source AI community, reported a security vulnerability on May 31. Its team detected unauthorized access to its Spaces platform, which may have led to the leakage of some user keys. Hugging Face is one of the world's largest artificial intelligence and data science project collaboration platforms, with more than one million models, data sets, and artificial intelligence-driven applications. A Hugging Face spokesperson said in a statement: "In the past few months, we have seen network...

Hugging Face, the world's largest open source AI community, recently announced that it will provide $10 million in free shared GPUs to help developers create new AI technologies. Specifically, the purpose of Hugging Face's move is to help small developers, researchers, and startups fight against large AI companies and prevent AI progress from falling into "centralization." Hugging Face CEO Clem Delangue was interviewed by The Verge...

AI startup Hugging Face announced that it has open-sourced its robotics toolkit LeRobot, a move that marks a major boon for the field of AI robotics research and development. Previously, Hugging Face has successfully attracted former Tesla scientist Remi Cadene to join and lead this new open source project. LeRobot's core features Open source robotics toolkit: LeRobot is developed based on the largest crowdsourced robotics dataset to date, and is designed to promote the research and development of AI robotics technology. Comprehensive platform: LeRobot is not only...

If you want to experience ChatGPT 4.0 but don't want to spend money, this article is for you. Today, I will introduce in detail 5 ways to get ChatGPT 4.0 for free (note: you need to configure the network environment), from text generation to image analysis. 1. Use ChatGPT 4.0 on Bing Using ChatGPT 4 on Bing is very simple because it has been integrated into the Microsoft Bing search engine. The steps are as follows: Visit Bing: Visit the Bing website: https://www.bing.com/, select "…

Hugging Face was originally a New York-based startup focused on chatbot services. However, during the startup process, they open-sourced a library called Transformers and released it on GitHub. Although the chatbot business did not succeed, the library quickly became popular in the machine learning community. Currently, Hugging Face has shared more than 100,000 pre-trained models and 10,000 datasets, becoming an important open source resource in the machine learning community. The Hugging Face website provides a wealth of…

Hugging Face recently released an iOS client app called "Hugging Chat" to bring convenience to users. Users can now access and use various open source models hosted on the Hugging Face platform on their mobile phones. Download address: https://apps.apple.com/us/app/huggingchat/id6476778843 Web address: https://huggingface.co/chat Currently, the app provides six...

Stability AI recently released the Stable Video 3D model, which can create multi-view 3D videos from a single image. ▲ Image source Stability AI Stable Video 3D includes two variants, SV3D_u can generate track videos based on a single image input without camera adjustment; and SV3D_p extends the functionality of SVD3_u, which can accommodate track views, allowing 3D videos to be created along a specified camera path. Compared with the previous Stable…

According to foreign media VentureBeat, AI startup Hugging Face has set up an open source robot project, led by former Tesla scientist Remi Cadene. Remi Cadene's X platform dynamics show that this former Tesla humanoid robot Optimus team member joined Hugging Face and started an open source robot project, recruiting engineers willing to build "real robots" in Paris. Hugging Face's main business is currently in the form of software, including the development of...

One of the biggest issues with AI image generation models is speed: it can take minutes to generate an image using ChatGPT or Stable Diffusion. Even Meta CEO Mark Zuckerberg complained about image generation speed at last year’s Meta Connect conference. The Hugging Face team is trying to speed things up with a new model called aMUSEd, which can generate images in just seconds. This lightweight text-to-image model is based on Google’s M…

Clément Delangue, CEO of Hugging Face, is against the practice of large tech companies holding onto machine learning code like commercial patents. Instead, he is working to build a world where every developer or startup can freely access AI models and effectively help make AI open source. Today, Hugging Face is democratizing the development of the most impactful technology of our time. The platform serves more than 50,000 organizations using its services, including more than 300…

Every time you use AI to generate an image, write an email, or ask a chatbot a question, it takes a toll on the planet, according to a new study from AI startup Hugging Face and researchers at Carnegie Mellon University. In fact, generating a single image using a powerful AI model consumes as much energy as fully charging a cell phone, according to the study, which is the first to calculate the carbon emissions from using AI models for different tasks. However, they found that using AI models to generate text was significantly less energy intensive. Generating text 1,000 times only consumes the equivalent of…

AI startup Hugging Face recently announced that its two-person H4 team is working on developing tools and "recipes" to help the AI community build AI chatbots similar to ChatGPT. Since ChatGPT was released, the H4 team was formed to replicate its functionality, using open source libraries and models. The H4 team - the name stands for "Helpful, Honest, Harmless and Friendly" - has now launched multiple open source large-scale language models, including the most recent one by French AI startup Mist...