Learn how to apply and fine-tune a Transformer-based Deep Learning model to Natural Language Processing (NLP) tasks. In this course, you'll: · Construct a Transformer neural network in PyTorch · Build a named-entity recognition (NER) application with BERT · Deploy the NER application with ONNX and TensorRT to a Triton inference server Upon completion, you’ll be proficient in task-agnostic applications of Transformer-based models.
Location
Virtual
Affiliation
NAIRR Pilot