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Jan 24th, 2019
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  1. # Defining the structure of our word2vec model
  2.  
  3. # Size is the dimentionality feature of the model
  4. model_1 = Word2Vec(size=300, min_count=1)
  5. #Feeding Our coupus
  6. model_1.build_vocab(sentences)
  7. #Lenth of the courpus
  8. total_examples = model_1.corpus_count
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