# 自动提取标记信息
项目托管：https://github.com/napoler/Bert_clear_title
一个用于标题清理的模块，需下载对应的模型，使用Bert模型训练获得，内存消耗稍微高点，如果使用GPU更快。
安装： ` pip install Bert_clear_title `
模型下载：https://www.kaggle.com/terrychanorg/bertcleartitlemodel
自动提取标记信息 使用Bert模型进行训练 初始化模型 可以从这里下载模型
https://www.kaggle.com/terrychanorg/bert-title/output
## 快速上传操作
可以自动查找依赖，然后上传 ` sh upload.sh `
1 maintainer
Metadata
1 maintainer
Release files for Bert_clear_title 0.0.0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Bert_clear_title-0.0.0.1.2.tar.gz | 4.1 kB | Details |
Release files / Bert_clear_title-0.0.0.1.2.tar.gz
| Download URL | Bert_clear_title-0.0.0.1.2.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bf9536f897ff1fffd0ef627557116602c72197f5165baee72ff9950025abc2f5
|
|
BLAKE2b-256 checksum How to use checksums |
50f6932b23d16f2d68eec6715390cbf711e26dff0ac9ef6f53b3aea671531b6a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|
