More Advanced AI Applications
This course:
Requires a good knowledge of Python
Is better taken after an introductory deep learning course.
Does not expect prior PyTorch or TensorFlow knowledge, though some familiarity with either of those will help.
What to Expect:
Chapters 1-4: Introduction to Hugging Face Transformers – Understand Transformer models, use pre-trained models, fine-tune them, and share results on the Hub.
Chapters 5-8: Basics of 🤗 Datasets and 🤗 Tokenizers – Solve classic NLP tasks independently.
Chapters 9-12: Beyond NLP – Apply Transformers to speech and vision tasks, build demos, and optimize models for production.
By the end, you'll be equipped to use 🤗 Transformers for a variety of machine learning problems.
