Introducing Hugging Face for Education 🤗

• 🤗 Education for All
• 🤗 Education for Beginners
• 🤗 Education for Instructors
• 🤗 Education Events & News

Given that machine learning will make up the overwhelming majority of software development and that non-technical people will be exposed to AI systems more and more, one of the main challenges of AI is adapting and enhancing employee skills. It is also becoming necessary to support teaching staff in proactively taking AI's ethical and critical issues into account.

As an open-source company democratizing machine learning, Hugging Face believes it is essential to educate people from all backgrounds worldwide.

We launched the ML demo.cratization tour in March 2022, where experts from Hugging Face taught hands-on classes on Building Machine Learning Collaboratively to more than 1000 students from 16 countries. Our new goal: to teach machine learning to 5 million people by the end of 2023.

This blog post provides a high-level description of how we will reach our goals around education.

🤗 Education for All

🗣️ Our goal is to make the potential and limitations of machine learning understandable to everyone. We believe that doing so will help evolve the field in a direction where the application of these technologies will lead to net benefits for society as a whole.

Some examples of our existing efforts:

• we describe in a very accessible way different uses of ML models (summarization, text generation, object detection…),
• we allow everyone to try out models directly in their browser through widgets in the model pages, hence lowering the need for technical skills to do so (example),
• we document and warn about harmful biases identified in systems (like GPT-2).
• we provide tools to create open-source ML apps that allow anyone to understand the potential of ML in one click.

🤗 Education for Beginners

🗣️ We want to lower the barrier to becoming a machine learning engineer by providing online courses, hands-on workshops, and other innovative techniques.