加入BERT模型的实现和数据的处理。
Project description
qqhrz
对动手学深度学习pytorch版的代码实现。
1. 简介
这个包是对东西学深度学习pytorch版的代码实现,由本人书写,存在着许多不足,希望大家见谅。写这个包既是对自己的练习,也是希望可以给同组师弟、师妹们一些帮助。
2. 包的结构
qqhrz包中包含一个模块:ztorch,所以代码均值此包中进行实现。可以通过”from qqhrz import ztorch as qz“进行调用。
3.依赖
使用本包时,需要先安装pytorch==1.12.0和torchvision==0.13.0,cpu版和gpu版均可,建议安装gpu版本。
4. 希翼
希望自己能够不断完善,不断改进代码,提升自己的能力,给大家一些帮助。
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
qqhrz-0.0.7.tar.gz
(10.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
qqhrz-0.0.7-py3-none-any.whl
(9.5 kB
view details)
File details
Details for the file qqhrz-0.0.7.tar.gz.
File metadata
- Download URL: qqhrz-0.0.7.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aecaf1d953a96fba90edf22c4be54e0a3e2c852ee7ee769c4e812b05d33ee36b
|
|
| MD5 |
ded108bbf8822d00ebee91518b48b38b
|
|
| BLAKE2b-256 |
0bbd49a3f96c68cd01694e600712046f0fb2043fab8bc8bbd253f686ffa15437
|
File details
Details for the file qqhrz-0.0.7-py3-none-any.whl.
File metadata
- Download URL: qqhrz-0.0.7-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fdfa70e87cdd79bdb67b3c51bd2894cd3ded4a37f009d8ea3c5f07a76ed3f76e
|
|
| MD5 |
aa82e60b65bf46864287940ef8d13358
|
|
| BLAKE2b-256 |
a88c0b89b7825e200cc8df2ca3a1578e7ce70aa2c5f7c49aa5f0e054735bff7c
|