Migrate model card from transformers-repo

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/ramsrigouthamg/t5_paraphraser/README.md

README.md

@@ -0,0 +1,84 @@
+## 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('ramsrigouthamg/t5_paraphraser')
+tokenizer = T5Tokenizer.from_pretrained('ramsrigouthamg/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?
+```
+
+## Detailed blog post available here :
+https://towardsdatascience.com/paraphrase-any-question-with-t5-text-to-text-transfer-transformer-pretrained-model-and-cbb9e35f1555
+