ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Paper β’ 2107.02137 β’ Published
How to use nghuyong/ernie-3.0-base-zh with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="nghuyong/ernie-3.0-base-zh") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("nghuyong/ernie-3.0-base-zh")
model = AutoModelForMaskedLM.from_pretrained("nghuyong/ernie-3.0-base-zh")ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation More detail: https://arxiv.org/abs/2107.02137
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.
Then you can load ERNIE-3.0 model as before:
from transformers import BertTokenizer, ErnieForMaskedLM
tokenizer = BertTokenizer.from_pretrained("nghuyong/ernie-3.0-base-zh")
model = ErnieForMaskedLM.from_pretrained("nghuyong/ernie-3.0-base-zh")
@article{sun2021ernie,
title={Ernie 3.0: Large-scale knowledge enhanced pre-training for language understanding and generation},
author={Sun, Yu and Wang, Shuohuan and Feng, Shikun and Ding, Siyu and Pang, Chao and Shang, Junyuan and Liu, Jiaxiang and Chen, Xuyi and Zhao, Yanbin and Lu, Yuxiang and others},
journal={arXiv preprint arXiv:2107.02137},
year={2021}
}