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This course introduces using pretrained BERT models from Hugging Face for question answering with custom data. It covers transfer learning, BERT pretraining and fine-tuning with SQuAD 2.0, and implementation in Python using Hugging Face pipelines and TensorFlow in Google Colab.
Syllabus
- Intro
- Hugging Face Model Hub
- Using a BERT model on HuggingFace
- Introduction to Transfer Learning
- Understanding BERT
- Datasets used to build pre-train BERT Wikipedia and BookCorpus
- Fine Tuning BERT to understand Q&A with SQuAD 2.0
- Coding our model with HuggingFace Pipelines using Google Colab
- Coding our model with TensorFlow using Google Colab
Taught by
Chris Hay