Technical requirements

For implementation in the rest of the sections, we may illustrate this using the BERT or GPT models. We will use the Stanford Question Answering Dataset (SquAD) 2.0 as our dataset and PyTorch for illustration. The main library dependencies for our code are as follows:

• torch>=1.7.1
• transformers>=4.10.3
• cuda>=11.0
• torchvision>=0.9.1
• Nvidia driver >=450.119.03

It is mandatory to have the correct versions of the preceding libraries installed before moving ahead with this chapter.