Srinivasa Chaitanya Chaganty ChSChaitanya

## pipeline.py
VOCAB= ascii_uppercase+digits+punctuation+" \t\n"

#Change to CUDA to run using GPU
device = 'cpu'

def get_test_data(etfo):
    text = etfo
    text_tensor = torch.zeros(len(text), 1, dtype=torch.long)
    text_tensor[:, 0] = torch.LongTensor([VOCAB.find(c) for c in text])
    return text_tensor.to(device)

## understanding-word-vectors.ipynb

      
        
          
            
              
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                ChSChaitanya
                / understanding-word-vectors.ipynb
            
            
              Created
              December 13, 2020 15:02
                — forked from aparrish/understanding-word-vectors.ipynb
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
        
      
        
  
    
    

          
    
      
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	VOCAB= ascii_uppercase+digits+punctuation+" \t\n"

	#Change to CUDA to run using GPU
	device = 'cpu'

	def get_test_data(etfo):
	text = etfo
	text_tensor = torch.zeros(len(text), 1, dtype=torch.long)
	text_tensor[:, 0] = torch.LongTensor([VOCAB.find(c) for c in text])
	return text_tensor.to(device)