README.md

---
language: fa
tags:
- Style transfer
- Formality style transfer
widget:
- text: "من با دوستام میرم بازی."
- text: "من به خونه دوستم رفتم."

---

# Persian-t5-formality-transfer

This is a formality style transfer model for the Persian language to convert colloquial text into a formal one. It is based on [the monolingual T5 model for Persian.](https://huggingface.co./Ahmad/parsT5-base) and [Persian T5 paraphraser](https://huggingface.co./erfan226/persian-t5-paraphraser)

## Usage

```python

>>> pip install transformers
>>> from transformers import (T5ForConditionalGeneration, AutoTokenizer, pipeline)
>>> import torch

model_path = 'erfan226/persian-t5-formality-transfer'
model = T5ForConditionalGeneration.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)
pipe = pipeline(task='text2text-generation', model=model, tokenizer=tokenizer)

def paraphrase(text):
  for j in range(3):
    out = pipe(text, encoder_no_repeat_ngram_size=4, do_sample=True, num_beams=5, max_length=128)[0]['generated_text']
    print("Paraphrase:", out)

text = "من با دوستام میرم بازی"
print("Original:", text)
paraphrase(text)

# Original: من با دوستام میرم بازی
# Paraphrase: دوست دارم با دوستانم بازی کنم.
# Paraphrase: من با دوستانم میرم...
# Paraphrase: من با دوستام بازی می کنم.

```

## Training data
TBD