readme: Blog post with more details as well as easy to use Google Colab link: https://towardsdatascience.com/high-quality-sentence-paraphraser-using-transformers-in-nlp-c33f4482856f
  
  !pip install transformers==4.10.2
  
  !pip install sentencepiece==0.1.96
  
  ```
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  
  model = AutoModelForSeq2SeqLM.from_pretrained("ramsrigouthamg/t5-large-paraphraser-diverse-high-quality")
  tokenizer = AutoTokenizer.from_pretrained("ramsrigouthamg/t5-large-paraphraser-diverse-high-quality")
  
  import torch
  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
  print ("device ",device)
  model = model.to(device)
  
  # Beam Search
  
  context = "Once, a group of frogs were roaming around the forest in search of water."
  text = "paraphrase: "+context + " </s>"
  
  encoding = tokenizer.encode_plus(text,max_length =128, padding=True, return_tensors="pt")
  input_ids,attention_mask  = encoding["input_ids"].to(device), encoding["attention_mask"].to(device)
  
  model.eval()
  beam_outputs = model.generate(
      input_ids=input_ids,attention_mask=attention_mask,
      max_length=128,
      early_stopping=True,
      num_beams=15,
      num_return_sequences=3
  
  )
  
  print ("\n\n")
  print ("Original: ",context)
  for beam_output in beam_outputs:
      sent = tokenizer.decode(beam_output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
      print (sent)
  ```
      
  **Output from the above code**
      
  ```
  Original:  Once, a group of frogs were roaming around the forest in search of water.
  paraphrasedoutput: A herd of frogs were wandering around the woods in search of water.
  paraphrasedoutput: A herd of frogs was wandering around the woods in search of water.
  paraphrasedoutput: A herd of frogs were wandering around the forest in search of water at one time.
  ```