WWDC23: Explore Natural Language multilingual models | Apple

Learn how to create custom Natural Language models for text classification and word tagging using multilingual, transformer-based embeddings. We’ll show you how to train with less data and support up to 27 different languages across three scripts. Find out how to use these embeddings to fine-tune complex models trained in PyTorch and TensorFlow. For more on Natural Language, check out "Make apps smarter with Natural Language” from WWDC20. More Apple Developer resources: Video sessions: https://apple.co/VideoSessions Documentation: https://apple.co/DeveloperDocs Forums: https://apple.co/DeveloperForums App: https://apple.co/DeveloperApp