metadata

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:

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