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I’ve tried several methods of loading the google news word2vec vectors (https://code.google.com/archive/p/word2vec/): en_nlp = spacy.load('en',vector=False) en_nlp.vocab.load_vectors_from_bin_loc('GoogleNews-vectors-negative300.bin') The above gives: MemoryError: Error assigning 18446744072820359357 bytes I’ve also tried with the .gz packed vectors; or by loading and saving them with gensim to ...

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