# Char-RNN-PyTorch Use the character level RNN for text generation, using the PyTorch framework. [Gluon ## Requirements - PyTorch 0.2 - numpy ## Basic Usage If you want to train the network, use the following code ```bash Python main.py \ --state train \ TXT text --txt'./data/poetry.txt'\ # for training --batch 128, batch_size # --epoch 1000 \ The length of the sequence --len 100 \ # input RNN --max_vocab 5000, # maximum number of characters --embed 512 \ # word vector dimension The output dimension --hidden 512 \ # network --n_layer 2 # \ RNN layers --dropout 0.5 . If you want to use a trained network for text generation, use the following code ```bash Python main.py \ --state Eval \ I \ '--begin' # generated text, can be a character, can also be a paragraph --pred_len 100, # want to generate text length --checkpoint'./checkpoint/model_100.pth'# reading training model position .

Filename	Size	Update
Char-RNN-PyTorch-master
Char-RNN-PyTorch-master\.gitignore	37	2017-09-09
Char-RNN-PyTorch-master\CharRNN.py	1236	2017-09-09
Char-RNN-PyTorch-master\README.md	1827	2017-09-09
Char-RNN-PyTorch-master\data
Char-RNN-PyTorch-master\data\jay.txt	183181	2017-09-09
Char-RNN-PyTorch-master\data\poetry.txt	2683016	2017-09-09
Char-RNN-PyTorch-master\data_utils.py	2627	2017-09-09
Char-RNN-PyTorch-master\main.py	5298	2017-09-09

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