readme: ---
  language: en
  license: other
  ---
  
  ## Model in Action 🚀
  
  ```python
  import torch
  from transformers import T5ForConditionalGeneration,T5Tokenizer
  
  
  def set_seed(seed):
    torch.manual_seed(seed)
    if torch.cuda.is_available():
      torch.cuda.manual_seed_all(seed)
  
  set_seed(42)
  
  model = T5ForConditionalGeneration.from_pretrained('valurank/t5-paraphraser')
  tokenizer = T5Tokenizer.from_pretrained('valurank/t5-paraphraser')
  
  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
  print ("device ",device)
  model = model.to(device)
  
  sentence = "Which course should I take to get started in data science?"
  # sentence = "What are the ingredients required to bake a perfect cake?"
  # sentence = "What is the best possible approach to learn aeronautical engineering?"
  # sentence = "Do apples taste better than oranges in general?"
  
  
  text =  "paraphrase: " + sentence + " </s>"
  
  
  max_len = 256
  
  encoding = tokenizer.encode_plus(text,pad_to_max_length=True, return_tensors="pt")
  input_ids, attention_masks = encoding["input_ids"].to(device), encoding["attention_mask"].to(device)
  
  
  # set top_k = 50 and set top_p = 0.95 and num_return_sequences = 3
  beam_outputs = model.generate(
      input_ids=input_ids, attention_mask=attention_masks,
      do_sample=True,
      max_length=256,
      top_k=120,
      top_p=0.98,
      early_stopping=True,
      num_return_sequences=10
  )
  
  
  print ("\nOriginal Question ::")
  print (sentence)
  print ("\n")
  print ("Paraphrased Questions :: ")
  final_outputs =[]
  for beam_output in beam_outputs:
      sent = tokenizer.decode(beam_output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
      if sent.lower() != sentence.lower() and sent not in final_outputs:
          final_outputs.append(sent)
  
  for i, final_output in enumerate(final_outputs):
      print("{}: {}".format(i, final_output))
  
  ```
  ## Output
  ```
  Original Question ::
  Which course should I take to get started in data science?
  
  
  Paraphrased Questions :: 
  0: What should I learn to become a data scientist?
  1: How do I get started with data science?
  2: How would you start a data science career?
  3: How can I start learning data science?
  4: How do you get started in data science?
  5: What's the best course for data science?
  6: Which course should I start with for data science?
  7: What courses should I follow to get started in data science?
  8: What degree should be taken by a data scientist?
  9: Which course should I follow to become a Data Scientist?
  ```
  
  