textgenrnn 1.2

Pretrained character-based neural network for easily generating text.

Generate text using a pretrained neural network with a few lines of code,
or easily train your own text-generating neural network of any size
and complexity on any text dataset.

* A modern neural network architecture which utilizes new techniques as
attention-weighting and skip-embedding to accelerate training
and improve model quality.
* Able to train on and generate text at either the
character-level or word-level.
* Able to configure RNN size, the number of RNN layers,
and whether to use bidirectional RNNs.
* Able to train on any generic input text file, including large files.
* Able to train models on a GPU and then use them with a CPU.
* Able to utilize a powerful CuDNN implementation of RNNs
when trained on the GPU, which massively speeds up training time as
opposed to normal LSTM implementations.
* Able to train the model using contextual labels,
allowing it to learn faster and produce better results in some cases.