Summary:
- This article discusses the implementation of a Transformer-based regression language model to predict continuous values from text.
- The model uses the Transformer architecture, which is a type of neural network that has been successful in various natural language processing tasks.
- The article provides a step-by-step coding implementation and explains how the model can be used to predict continuous values, such as numerical quantities, from textual data.