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Vocabulary set from pre-trained model "GoogleNews-vectors-negative300.bin"

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word2vec-GoogleNews-vocabulary

Created by Phi Van Thuy.

Vocabulary from pre-trained model "GoogleNews-vectors-negative300.bin".

Number of words in vocabulary: 3 millions.

![fig1] (demo.JPG)

Example: scripts/extract_vocabulary "binary_model" "output_filename"

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Vocabulary set from pre-trained model "GoogleNews-vectors-negative300.bin"

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