Session: Hands-on NLP with Hugging Face
Hands-on introduction to the state-of-the-art Hugging Face NLP libraries. Natural Language Processing (NLP) has evolved greatly and become increasingly popular in recent years, especially since the introduction in 2017 of the Transformer architecture. Thanks to the open-source Hugging Face libraries, we all have access to cutting-edge NLP models that can be easily used to address a wide range of tasks.
- Understand the fundamentals of Natural Language Processing.
- Train a Language Model from scratch using the Hugging Face libraries.
- Learn how to fine-tune a model to perform popular NLP tasks.
María is a Machine Learning Research Engineer focused on NLP and Trusted AI. She holds two degrees in Mathematics and Physics and is currently working at a startup specialized in AI Explainability and Robustness. She is a contributor to the Hugging Face libraries and the founder of the community "NLP en ES 🤗", the Hugging Face community of Spanish-speaking NLP professionals.