Glove Twitter

Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.

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Example Usage

import gensim.downloader as api
model = api.load("glove-twitter-25", from_hf=True)
model.most_similar(positive=['fruit', 'flower'], topn=1)

"""
Output:

[('cherry', 0.9183273911476135)]
"""
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