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 # Context Vectors (CoVe)
 
-This repo provides the best MT-LSTM from the paper [Learned in Translation: Contextualized Word Vectors (McCann et. al. 2017)](http://papers.nips.cc/paper/7209-learned-in-translation-contextualized-word-vectors.pdf).
+This repo provides the best, pretrained MT-LSTM from the paper [Learned in Translation: Contextualized Word Vectors (McCann et. al. 2017)](http://papers.nips.cc/paper/7209-learned-in-translation-contextualized-word-vectors.pdf).
 For a high-level overview of why CoVe are great, check out the [post](https://einstein.ai/research/learned-in-translation-contextualized-word-vectors).
 
 example.py uses [torchtext](https://github.com/pytorch/text/tree/master/torchtext) to load the [Stanford Natural Language Inference Corpus](https://nlp.stanford.edu/projects/snli/) and [GloVe](https://nlp.stanford.edu/projects/glove/).