模型:
muchad/idt5-qa-qg
在 30% 的数据上,fine-tuned 了 mT5 的印度尼西亚版本,用于问题生成和问题回答任务。
!pip install transformers==4.4.2 !pip install sentencepiece==0.1.95 !git clone https://github.com/muchad/qaqg.git %cd qaqg/
from pipeline_qg import pipeline #pipeline_qg.py script in the cloned repo
qg = pipeline()
#sample
qg("Raja Purnawarman mulai memerintah Kerajaan Tarumanegara pada tahun 395 M.")
#output
=> [{'answer': 'Raja Purnawarman','question': 'Siapa yang memerintah Kerajaan Tarumanegara?'}, {'answer': '395 M','question': 'Kapan Raja Purnawarman memerintah Kerajaan Tarumanegara?'}]
问题回答
from pipeline_qa import pipeline #pipeline_qa.py script in the cloned repo
qa = pipeline()
#sample
qa({"context":"Raja Purnawarman mulai memerintah Kerajaan Tarumanegara pada tahun 395 M.","question":"Siapa pemimpin Kerajaan Tarumanegara?"})
#output
=> Raja Purnawarman
引用 论文: idT5: Indonesian Version of Multilingual T5 Transformer
@misc{https://doi.org/10.48550/arxiv.2302.00856,
doi = {10.48550/ARXIV.2302.00856},
url = {https://arxiv.org/abs/2302.00856},
author = {Fuadi, Mukhlish and Wibawa, Adhi Dharma and Sumpeno, Surya},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7},
title = {idT5: Indonesian Version of Multilingual T5 Transformer},
publisher = {arXiv},
year = {2023}
}