Created
February 28, 2016 23:35
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This should work
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| from tensorflow.models.embedding.word2vec_optimized import FLAGS, Options, Word2Vec | |
| FLAGS1 = FLAGS | |
| FLAGS2 = FLAGS | |
| class MyOptions(Options): | |
| def __init__(self): | |
| super(MyOptions, self).__init__() | |
| self.train_data = FLAGS1.train_data = "new_train_data" | |
| model1 = Word2Vec(MyOptions(), tfsession) |
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