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
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