In this masterclass, participants will dive deep into the Hugging Face ecosystem, exploring its extensive suite of open-source tools and libraries for NLP, vision, and multimodal AI. This session is designed to empower AI enthusiasts, developers, and researchers to contribute to and build impactful open-source projects.
What You Will Learn:
Introduction to Hugging Face: Overview of Transformers, Diffusers, and Datasets libraries.
Building AI Models: Fine-tuning and deploying NLP and multimodal models.
Working with the Hub: Best practices for publishing, sharing, and collaborating on models and datasets.
Spaces & Gradio Integration: Creating interactive demos with minimal code.
Contributing to Open Source: Understanding contribution workflows and engaging with the Hugging Face community.
Key Takeaways:
✅ Hands-on experience with state-of-the-art AI models
✅ Real-world applications of Hugging Face tools
✅ Guidance on open-source collaboration and community best practices
✅ A step-by-step roadmap to launching your own AI project
By the end of this masterclass, participants will have a working AI project hosted on Hugging Face Spaces, ready to showcase in their portfolios.