Hugging Face - ML Demo.cratization tour with SCAI

Hugging Face is organizing a series of "national" events whose objective is to democratize good machine learning by providing a nice platform to students and empowering as many of them as possible to utilize great open source tools in their academic lives and project demos.  

After India and Slovakia, it's France's turn to host the ML Demo.cratization Tour on March 23rd, at 6pm! Scai will virtually host the one-hour session, aimed at Bachelor and Master students from Sorbonne University but also from all over France.

What is an HF hands-on class?

• Live & Public Webinar
• Focus: How to build Machine Learning collaboratively
• 1 co-animation with Omar Sanseviero & Abubakar Abid from Hugging Face & Laure Soulier, Lecturer at Sorbonne Université - ISIR
• Abstract :

How can you show what a Machine Learning model does once it's trained? In this talk, you're going to learn how to create Machine Learning apps and demos using Streamlit and Gradio, Python libraries for this purpose. Additionally, you'll see how to share them with the rest of the Open Source ecosystem. Learning to create graphic interfaces for models is extremely useful for sharing with other people interesting them.

What is required to follow it?

• Basic knowledge of Python
• Conceptual knowledge of ML
• A google Colab account
• A Hugging Face Hub account

Free access without registration

Zoom link