A token is a unit tightly bound to data. It can be used to measure how much corpus is needed to train a model, and also to measure the input and output length at inference time. 1. What a token is A token can be a whole word, a subword,

transformers is a Python library developed by Hugging Face for using and training pretrained Transformer models in natural language processing (NLP) tasks. It provides many powerful tools and features that make working with text data and building NLP models much easier. The library is widely used across a variety of

1. Why Transformer Fully connected self-attention In earlier RNN models, each word could only relate to its neighboring words, whereas with the Attention mechanism in the Transformer model, a word can relate to a word at any position, so it can capture global context information. No vanishing gradient problem An RNN applies repeatedly to the same weight matrix, so when its largest eigenvalue is less than 1 the vanishing gradient problem appears.