Welcome! You are invited to join a meeting: The Hugging Face. After registering, you will receive a confirmation email about joining the meeting.
Speaker: Daniel van Strien, Machine Learning Librarian, Hugging Face The last ten years have seen machine learning making an increasingly significant impact across all areas of business and society. Machine learning also increasingly plays a role in producing new knowledge across the science and the humanities. The Hugging Face hub is a repository for sharing machine learning models, datasets and demos. It currently has over 150,000 models and 25,000 datasets made openly available for others to use and build on. These models cover a range of tasks, i.e. text classification and modalities, i.e. text, image, audio etc. This hub aims to help democratize access to machine learning. The open science movement has broadened the scope of which scholarly outputs are considered important to emphasize the data and software underpinning research findings. This scope will again need to be expanded to include machine learning models. In this webinar, Hugging Face's Machine Learning Librarian, Daniel van Strien, will discuss how Hugging Face works to ensure machine learning models can be more easily found, used and built on by others, i.e. how they can follow the FAIR principles. Hosted by FAIRPoints (https://fairpoints.org/). More information or inquiries please contact [email protected]

! Hope you've all had a great weekend. In this morning's