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I'm using GloVe pre-trained Twitter word embedding together with this lda2vec.
Just replace the bin file here in twenty_newsgroups with the pre-trained result file. It can be txt instead of bin, the first line being the total # word entries and the dimension of the representation, separated with a space char.
Is it possible to initialize lda2vec with some external embeddings, f.e pre-trained FastText or pre-trained word2vec?
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