Update README.md

README.md

@@ -1,3 +1,40 @@
 ---
-license: cc
+language: "en"
+tags:
+- paraphrase-generation
+- text-generation
+
 ---
+# Simple model for Paraphrase Generation
+​
+## Model description
+​
+T5-based Model for generating English paraphrased sentences. It is trained on the labeled [MSRP](https://www.microsoft.com/en-us/download/details.aspx?id=52398) and [Google PAWS](https://github.com/google-research-datasets/paws) dataset.
+​
+## How to use
+​
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+​
+tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws")  
+model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws")
+​
+sentence = "This is something which i cannot understand at all"
+text =  "paraphrase: " + sentence + " </s>"
+encoding = tokenizer.encode_plus(text,pad_to_max_length=True, return_tensors="pt")
+input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
+outputs = model.generate(
+    input_ids=input_ids, attention_mask=attention_masks,
+    max_length=256,
+    do_sample=True,
+    top_k=120,
+    top_p=0.95,
+    early_stopping=True,
+    num_return_sequences=5
+)
+for output in outputs:
+    line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
+    print(line)
+​
+```
+