It is a PyTorch-based framework developed by Facebook to give ease to the experience in the implementation of the end-to-end workflow of Natural Language Processing. It is designed to reduce the gap between practicing research and serving the models of an NLP app.

Different Features of PyText

  • It is based on torch text.
  • It provides supports of distributed training.
  • It also includes support of multi-tasking.

PyText Different Uses

It can be used to implement different tasks of NLP -

  • For implementing text classifiers.
  • For implementing sequence taggers.
  • For implementing the Joint intent -slot model.
  • For implementing contextual intent -slot models.