Character RNN Language Model in PyTorch

This is a character RNN-based language model in PyTorch. Code are based on examples in https://github.com/pytorch/examples/tree/master/word_language_model. It can handle any Unicode corpus.

All configurations and hyper paramters are centerized in a JSON file (hps/penn.json is an example for PTB). See the example for what are specified.

For training, use

./train.py --hps-file hps/penn.json

For sampling, use

./sample.py --hps-file hps/penn.json --nb-tokens 1000 --temperature 1.0

Docker

Docker for running sample-http.py.

docker build -t local:pytorch-char-rnnlm-sample-http .

docker run -d --rm -p 23333:80 local:pytorch-char-rnnlm-sample-http