Downloads · 30 days
3.4K
10% of all-time downloads
sikuroberta
SIKU-BERT/sikuroberta
sikuroberta is a fill-mask model from SIKU-BERT. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools. The pre-training language model has greatly improved the accuracy of text min…
All-time downloads
34.7K
Public
Repo size
1.3 GB
Likes
18
Public
Repo makeup
Click a slice to open those files.
.bin436 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 22, 2021
- SHA
- bb25260d
Try a prompt
Model card
From the Hugging Face model README
SikuBERT
Model description
Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools. The pre-training language model has greatly improved the accuracy of text mining in English and modern Chinese texts. At present, there is an urgent need for a pre-training model specifically for the automatic processing of ancient texts. We used the verified high-quality “Siku Quanshu” full-text corpus as the training set, based on the BERT deep language model architecture, we constructed the SikuBERT and SikuRoBERTa pre-training language models for intelligent processing tasks of ancient Chinese.
How to use
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("SIKU-BERT/sikuroberta")
model = AutoModel.from_pretrained("SIKU-BERT/sikuroberta")
About Us
We are from Nanjing Agricultural University.
Created with by SIKU-BERT
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- zh
- Created
- Mar 2, 2022
- Updated
- Sep 22, 2021