ernie-health-zh
Introduction
ERNIE-health is a Chinese biomedical language model pre-trained from in-domain text of de-identified online doctor-patient dialogues, electronic medical records, and textbooks.
More detail: https://github.com/PaddlePaddle/PaddleNLP/blob/develop/model_zoo/ernie-health/ https://arxiv.org/pdf/2110.07244.pdf
Released Model Info
| Model Name | Language | Model Structure |
|---|---|---|
| ernie-health-zh | Chinese | Layer:12, Hidden:768, Heads:12 |
This released pytorch model is converted from the officially released PaddlePaddle ERNIE model and a series of experiments have been conducted to check the accuracy of the conversion.
- Official PaddlePaddle ERNIE repo:https://github.com/PaddlePaddle/PaddleNLP/blob/develop/model_zoo/ernie-health/
- Pytorch Conversion repo: https://github.com/nghuyong/ERNIE-Pytorch
How to use
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("nghuyong/ernie-health-zh")
model = AutoModel.from_pretrained("nghuyong/ernie-health-zh")
Citation
@article{wang2021building,
title={Building Chinese Biomedical Language Models via Multi-Level Text Discrimination},
author={Wang, Quan and Dai, Songtai and Xu, Benfeng and Lyu, Yajuan and Zhu, Yong and Wu, Hua and Wang, Haifeng},
journal={arXiv preprint arXiv:2110.07244},
year={2021}
}