Simple, plug & play pytorch implementation of a skipthoughts encoder. Pretrained models and design are taken from the paper Skip-Thought Vectors and the corresponding theano based implementation.

• add support for vocabulary extension
• implement decoders
• add training script for custom model creation

from skipthoughts import Encoder dirStr = 'models' encoder = Encoder(dirStr) sentences = ["Hey, how are you?", "This sentence is a lie"] encodedSentences = encoder.encode(sentences) print(encodedSentences)

Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. "Skip-Thought Vectors." arXiv preprint arXiv:1506.06726 (2015).

@article{kiros2015skip, title={Skip-Thought Vectors}, author={Kiros, Ryan and Zhu, Yukun and Salakhutdinov, Ruslan and Zemel, Richard S and Torralba, Antonio and Urtasun, Raquel and Fidler, Sanja}, journal={arXiv preprint arXiv:1506.06726}, year={2015} }