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}
}