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Minor README.md fix
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Ben Eisner committed Oct 31, 2016
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Expand Up @@ -34,7 +34,9 @@ Once you've downloaded the pre-trained model, you can easily integrate
emoji embeddings into your projects like so:

```
e2v = gs.Word2Vec.load_word2vec_format('emoji2vec.bin', binary=True)
import gensim.models as gsm
e2v = gsm.Word2Vec.load_word2vec_format('emoji2vec.bin', binary=True)
happy_vector = e2v['😂'] # Produces an embedding vector of length 300
```

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