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