Federico González Brizzio fedegonzal
BrikerMan
/ w2v_visualizer-v2.py
Last active
March 30, 2022 20:26
Convert gensim word2vec to tensorboard visualized model, detail: https://eliyar.biz/using-pre-trained-gensim-word2vector-in-a-keras-model-and-visualizing/
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| from gensim.models import KeyedVectors | |
| # Load gensim word2vec | |
| w2v_path = '<Gensim File Path>' | |
| w2v = KeyedVectors.load_word2vec_format(w2v_path) | |
| import io | |
| # Vector file, `\t` seperated the vectors and `\n` seperate the words | |
| """ |