Overview and model architecture
This module provides pretrained weights for the ULMFiT language model encoder. The architecture is a 3-layer unidirectional LSTM network with several
regularization techniques. It was trained using FastAI framework and its weights were then exported to a Tensoflow SavedModel.
We verified the TF outputs to be numerically compatible at inference with outputs from FastAI.