Use Case: Using BERT to Answer Questions

Using BERT to answer questions

Now, let’s learn how to implement BERT, train it on a question-answer dataset, and ask the model to answer a given question.

Introduction to the Hugging Face transformers library

We will use the transformers library built by Hugging Face. The transformers library is a high-level API that is built on top of TensorFlow, PyTorch, and JAX. It provides easy access to pretrained transformer models that can be downloaded and fine-tuned with ease. We can find models in the Hugging Face’s model registry. We can filter models by task, examine the underlying deep learning frameworks, and more.

The transformers library was designed with the aim of providing a very low barrier for entry to ...