Summary: Transformers
Explore the inner workings of transformer models, including self-attention, positional embeddings, and residual connections. Understand how BERT handles various NLP tasks and apply it for question answering using the Hugging Face transformers library with TensorFlow.
We'll cover the following...
We'll cover the following...
How transformers models work
In this chapter, we talked about transformer models. First, we looked at the transformer at a microscopic level to understand the inner workings of the model. We saw that transformers use self-attention, a powerful technique to attend to other inputs in the text sequences while processing ...