Downloads · 30 days
4.2K
0% of all-time downloads
bert-base-chinese
ckiplab/bert-base-chinese
bert-base-chinese is a fill-mask model from ckiplab. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as gpl-3.0.
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition).
All-time downloads
1.1M
Public
Repo size
1.2 GB
Likes
31
Public
Repo makeup
Click a slice to open those files.
.bin409 MB · 50%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- gpl-3.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 10, 2022
- SHA
- efe27bb4
Try a prompt
Model card
From the Hugging Face model README
CKIP BERT Base Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition).
這個專案提供了繁體中文的 transformers 模型（包含 ALBERT、BERT、GPT2）及自然語言處理工具（包含斷詞、詞性標記、實體辨識）。
Homepage
Contributers
Usage
Please use BertTokenizerFast as tokenizer instead of AutoTokenizer.
請使用 BertTokenizerFast 而非 AutoTokenizer。
from transformers import (
BertTokenizerFast,
AutoModel,
)
tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese')
model = AutoModel.from_pretrained('ckiplab/bert-base-chinese')
For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers.
有關完整使用方法及其他資訊，請參見 https://github.com/ckiplab/ckip-transformers 。
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- gpl-3.0
- Languages
- zh
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- May 10, 2022