---
language: zh
---
# Bert-base-chinese
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
## Model Details
### Model Description
This model has been pre-trained for Chinese, training and random input masking has been applied independently to word pieces (as in the original BERT paper).
- **Developed by:** HuggingFace team
- **Model Type:** Fill-Mask
- **Language(s):** Chinese
- **License:** [More Information needed]
- **Parent Model:** See the [BERT base uncased model](https://huggingface.co/bert-base-uncased) for more information about the BERT base model.
### Model Sources
- **Paper:** [BERT](https://arxiv.org/abs/1810.04805)
## Uses
#### Direct Use
This model can be used for masked language modeling
## Risks, Limitations and Biases
**CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.**
Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
## Training
#### Training Procedure
* **type_vocab_size:** 2
* **vocab_size:** 21128
* **num_hidden_layers:** 12
#### Training Data
[More Information Needed]
## Evaluation
#### Results
[More Information Needed]
## How to Get Started With the Model
```python
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("bert-base-chinese")
model = AutoModelForMaskedLM.from_pretrained("bert-base-chinese")
```
没有合适的资源?快使用搜索试试~ 我知道了~
huggingface的bert-base-chinese
共10个文件
json:3个
txt:1个
safetensors:1个
需积分: 5 4 下载量 79 浏览量
2024-03-05
09:48:24
上传
评论
收藏 1.48GB ZIP 举报
温馨提示
https://huggingface.co/google-bert/bert-base-chinese pytorch和tensorflow都有
资源推荐
资源详情
资源评论
收起资源包目录
Archive.zip (10个子文件)
model.safetensors 392.49MB
flax_model.msgpack 390.21MB
tokenizer.json 263KB
tf_model.h5 456.15MB
pytorch_model.bin 392.51MB
gitattributes 445B
config.json 624B
tokenizer_config.json 49B
README.md 2KB
vocab.txt 107KB
共 10 条
- 1
资源评论
热爱Coding
- 粉丝: 1019
- 资源: 398
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功