Hugging Mirror is a browser extension focused on speeding up the download times for Hugging Face models. It addresses the common challenge of slow download speeds by employing optimization techniques that enhance the user experience. Whether you're a data scientist, researcher, or developer, this tool ensures that you can quickly obtain the models necessary for your projects. Simplified downloads mean reduced waiting time and a streamlined workflow, allowing you to focus more on implementation rather than waiting.

Kora Web Knowledge Capture allows users to select and save web content directly to their Kora account. This tool is particularly beneficial for researchers, students, and professionals who often gather information from various online sources. By streamlining the knowledge capture process, Kora helps you build a comprehensive database of important insights and references. It integrates seamlessly with your browsing experience, making knowledge management efficient and organized.

The News Type Predictor allows users to predict the category of news using a pre-trained model. By selecting the desired text, users can right-click to view prediction options that classify the news into various types. This tool enhances the understanding of the news and its context, making it easier for readers to discern the nature of information they are consuming. Ideal for journalists, researchers, and casual readers alike, this extension simplifies and enriches the news-reading experience in a fast-paced world.