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Matthew Honnibal 2016-11-01 13:22:36 +11:00 committed by GitHub
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@ -8,7 +8,7 @@ by [Parikh et al. (2016)](https://arxiv.org/pdf/1606.01933.pdf). The model is no
for its competitive performance with very few parameters. for its competitive performance with very few parameters.
The model is implemented using [Keras](https://keras.io/) and [spaCy](https://spacy.io). The model is implemented using [Keras](https://keras.io/) and [spaCy](https://spacy.io).
Keras is used to build and train the network, while spaCy is used to load Keras is used to build and train the network. spaCy is used to load
the [GloVe](http://nlp.stanford.edu/projects/glove/) vectors, perform the the [GloVe](http://nlp.stanford.edu/projects/glove/) vectors, perform the
feature extraction, and help you apply the model at run-time. The following feature extraction, and help you apply the model at run-time. The following
demo code shows how the entailment model can be used at runtime, once the demo code shows how the entailment model can be used at runtime, once the