From the course: Introduction to Transformer Models for NLP
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Lesson 6 topics
From the course: Introduction to Transformer Models for NLP
Lesson 6 topics
- Welcome to Lesson 6: Hands-on BERT. This lesson is focused on highlighting several use cases of BERT, by first introducing multiple flavors of BERT, and their pros and cons for use in downstream NLP tasks. Speaking of tasks, we will be using BERT to fine tune a sequence classification task, a token classification task, and finally, we will see how to use a pre-trained BERT to perform the very complicated and very complex architecture for question and answering systems.