A transformer model is a type of neural network architecture introduced in the field of NLP. It relies on self-attention mechanisms to capture contextual dependencies within a sequence of words efficiently. Transformer models, such as the popular BERT and GPT-3, have achieved impressive performances in various NLP tasks.