---
license: apache-2.0
language:
- fa
base_model:
- google/mt5-base
pipeline_tag: summarization
library_name: transformers
---

# mT5-Based Persian Question Generator

This repository contains model for generating questions from Persian text. 

---

## Features
- Preprocess Persian text data to ensure high-quality training samples.
- Fine-tune the mT5 model on question-generation tasks.
- Evaluate and generate questions from Persian texts using the fine-tuned model.

---

## Generating Questions
Use the fine-tuned model to generate questions from Persian text:
```python
from transformers import pipeline

pipe = pipeline("summarization", model="myrkur/persian-question-generator", device_map="auto")
sample_text = """شبکه‌های اجتماعی،هوموفیلی و اگزیستانسیالیم..."""
generated_question = pipe([sample_text], temperature=0.3, do_sample=True, repetition_penalty=1.1)
print(generated_question)
```

---


## Results and Usage
The fine-tuned model generates natural and contextually relevant questions from Persian text. This can be utilized for:
- Educational tools
- Conversational AI
- Persian text comprehension applications