Create README.md

README.md

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+!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.
+```