mt-dnn
This PyTorch-based toolkit provides a solid framework for natural language understanding through Multi-Task Deep Neural Networks. It integrates advanced adversarial training for language models and hybrid neural networks, utilizing prominent models such as BERT for enhanced performance. The package facilitates efficient training on various NLP tasks, including GLUE, SciTail, and SNLI, and robust fine-tuning options. In light of model hosting policy updates, ongoing improvements ensure comprehensive support for training, domain adaptation, and embedding extraction. Discover this versatile, open-source resource aimed at enhancing AI language comprehension.
