|
--- |
|
language: |
|
- zh |
|
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png |
|
tags: |
|
- pytorch |
|
- token-classification |
|
- bert |
|
- zh |
|
license: gpl-3.0 |
|
--- |
|
|
|
# CKIP Oldhan BERT Base Chinese WS |
|
|
|
This model provides word segmentation for the oldhan Chinese language. Our training dataset covers four eras of the Chinese language. |
|
|
|
## Homepage |
|
* [ckiplab/han-transformers](https://github.com/ckiplab/han-transformers) |
|
|
|
## Training Datasets |
|
The copyright of the datasets belongs to the Institute of Linguistics, Academia Sinica. |
|
* [中央研究院上古漢語標記語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/akiwi/kiwi.sh?ukey=-406192123&qtype=-1) |
|
* [中央研究院中古漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/dkiwi/kiwi.sh?ukey=852967425&qtype=-1) |
|
* [中央研究院近代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/pkiwi/kiwi.sh?ukey=-299696128&qtype=-1) |
|
* [中央研究院現代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/mkiwi/kiwi.sh) |
|
|
|
## Contributors |
|
* Chin-Tung Lin at [CKIP](https://ckip.iis.sinica.edu.tw/) |
|
|
|
## Usage |
|
|
|
* Using our model in your script |
|
```python |
|
from transformers import ( |
|
AutoTokenizer, |
|
AutoModel, |
|
) |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("ckiplab/oldhan-bert-base-chinese-ws") |
|
model = AutoModel.from_pretrained("ckiplab/oldhan-bert-base-chinese-ws") |
|
``` |
|
|
|
* Using our model for inference |
|
```python |
|
>>> from transformers import pipeline |
|
>>> classifier = pipeline("token-classification", model="ckiplab/oldhan-bert-base-chinese-ws") |
|
>>> classifier("帝堯曰放勳") |
|
|
|
``` |
