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arshjat/1.8.py

Created January 1, 2019 10:42
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1.8.py
embedding_path = "path-to-word-embedding"
embed_size = "dimension of embedding vectors"
max_features = 30000
def get_coefs(word,*arr): return word, np.asarray(arr, dtype='float32')
embedding_index = dict(get_coefs(*o.strip().split(" ")) for o in open(embedding_path))
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