Update README.md

README.md

@@ -1,3 +1,13 @@
+---
+license: "mit"
+---
+
+This model takes text as input and returns the top five paraphrased versions of the input text. The T5 model is fine-tuned using persuasive ad transcripts.
+
+Example classification:
+
+```python
+import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
 tokenizer = AutoTokenizer.from_pretrained("paragon-analytics/t5_para")  
@@ -10,7 +20,6 @@ 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,
@@ -23,4 +32,5 @@ outputs = model.generate(
 
 for output in outputs:
     line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
-    print(line)
+    print(line)
+```