License: MIT License
KerasGlove is an open source extension on keras that makes it incredibly easy to use pretrained glove embeddings.
Training your own embedding is incredibly expensive. To avoid having to do this, the common approach is to use a pre-trained embedding.
This package downloads and caches embeddings with 50, 100, 200 and 300 weights.
https://nlp.stanford.edu/projects/glove/ lists 4 versions of pre-trained embeddings, these 3 are not supported:
Common Crawl (42B tokens, 1.9M vocab, uncased, 300d vectors, 1.75 GB download): glove.42B.300d.zip
Common Crawl (840B tokens, 2.2M vocab, cased, 300d vectors, 2.03 GB download): glove.840B.300d.zip
Twitter (2B tweets, 27B tokens, 1.2M vocab, uncased, 25d, 50d, 100d, & 200d vectors, 1.42 GB download): glove.twitter.27B.zip
https://github.com/LukeWood/KerasGlove/blob/master/kerasglove/__init__.py#L78: num_weights should be size.
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