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---

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)

​

```