How to Build Custom Q&A Transformer Models in Python
In this video, we will learn how to take a pre-trained transformer model and train it for question-and-answering. We will be using the HuggingFace transformers library with the PyTorch implementation of models in Python.

Transformers are one of the biggest developments in Natural Language Processing (NLP) and learning how to use them properly is basically a data science superpower - they're genuinely amazing I promise!

I hope you enjoy the video :)

🤖 70% Discount on the NLP With Transformers in Python course:
https://bit.ly/3DFvvY5

Medium article:
https://towardsdatascience.com/the-ultimate-performance-metric-in-nlp-111df6c64460

(Free link):
https://towardsdatascience.com/how-to-fine-tune-a-q-a-transformer-86f91ec92997?sk=9344fd51afe71a0905db833d0183d436

Code:
https://gist.github.com/jamescalam/55daf50c8da9eb3a7c18de058bc139a3

Photo in thumbnail by Lorenzo Herrera on Unsplash
https://unsplash.com/@lorenzoherrera