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PQuAD
newsha/PQuAD
PQuAD is a question answering model from newsha. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of ParsBERT (state-of-the-art Persian language model) for the task of Question Answering.
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 9, 2026
- SHA
- 80b06869
Try a prompt
Base models
Model card
From the Hugging Face model README
PQuAD: Persian Question Answering Model
This model is a fine-tuned version of ParsBERT (state-of-the-art Persian language model) for the task of Question Answering.
It was trained on a proprietary Persian QA dataset as part of a BSc thesis at Amirkabir University of Technology.
Model Details
- Base Model: ParsBERT (Hooshvare Lab)
- Task: Extractive Question Answering
- Language: Persian (Farsi)
- Framework: PyTorch & Transformers
How to Use
You can use this model directly with the Hugging Face pipeline:
from transformers import pipeline
# Load the pipeline
qa_pipeline = pipeline("question-answering", model="newsha/PQuAD")
context = "دانشگاه صنعتی امیرکبیر یکی از باسابقهترین دانشگاههای فنی ایران است که در سال ۱۳۳۷ در تهران تأسیس شد."
question = "دانشگاه امیرکبیر در چه سالی تأسیس شد؟"
result = qa_pipeline(question=question, context=context)
print(f"Answer: {result['answer']}")
# Output: ۱۳۳۷
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- fa
- Created
- Mar 2, 2022
- Updated
- Feb 9, 2026