text: import numpy as np
  import tensorflow as tf
  
  DATA = r"C:\Users\Chris\Workspaces\NASDAQ-Dataset\data\sentqs_skipgram_sentence_embedding.npz"
  
  with np.load(DATA) as data:
      tweets = data['embedding']
      tweets.dtype = np.float32
      tweets.tofile(r'C:\Users\Chris\Workspaces\NASDAQ-Dataset\data\sentqs_skipgram_sentence_embedding.bytes')
  