Tutorial 3: Embeddings

This tutorial shows you how to use Flair to produce embeddings for words and documents. Embeddings are vector representations that are useful for a variety of reasons. All Flair models are trained on top of embeddings, so if you want to train your own models, you should understand how embeddings work.

📄️ Embeddings

An introduction to embeddings in Flair

📄️ Transformer embeddings

The most important embeddings are based on transformers

📄️ Flair embeddings

The embeddings that started this framework

📄️ Classic Word Embeddings

Classic word embeddings (still sometimes useful!)

📄️ Other embeddings in Flair

Other embeddings supported in Flair