Welcome to Textformer’s documentation!

Did you ever want to transform text? Are you tired of re-implementing and defining state-of-the-art architectures? If yes, Textformer is the way-to-go! This package provides a straightforward implementation of sequence-to-sequence and transformer-based architectures, fostering all research related to text generation and translation.

Use Textformer if you need a library or wish to:

  • Create your network;

  • Design or use pre-loaded state-of-the-art architectures;

  • Mix-and-match encoder and decoders to solve your problem;

  • Because it is fun to transform text.

Textformer is compatible with: Python 3.6+.

Indices and tables