[](https://github.com/ProgramerSalar/PSTransformer) [](https://www.python.org/downloads/) [](https://pypi.org/project/PSTransformer/) [](https://pypi.org/project/PSTransformer/#history) [](https://github.com/ProgramerSalar/PSTransformer/blob/master/LICENSE) []()
Dump the software license list of Python packages installed with pip.
## Table of Contents
* [Description](#description)
* [Installation](#installation)
* [License](#license)
* [Dependencies](#Dependencies)
* [Reference](https://github.com/ProgramerSalar/PSTransformer/blob/master/Readme_File/REFERENCE.md)
* [Uninstallation](#uninstallation)
* [Contributing](#contributing)
* [CHANGELOG](#CHANGELOG)
## Description
`PSTransformer` is a Python package that provides two high-level features.
## installation
```
pip install PSTransformer==<version>
OR
pip install PSTransformer
```
## license
[MIT Licence](https://github.com/ProgramerSalar/PSTransformer/blob/master/LICENSE)
## Dependencies
- ```torch```
- ```tqdm ``` this is progress bar library
- ```datasets ``` this is dataset libarary by huggingface
- ```tokenizers ``` this is tokenizers libary by huggingface
- ```tensorboard ``` TensorBoard is a visualization toolkit for machine learning experimentation. TensorBoard allows tracking and visualizing metrics such as loss and accuracy, visualizing the model graph, viewing histograms, displaying images and much more. In this tutorial we are going to cover TensorBoard installation, basic usage with PyTorch, and how to visualize data you logged in TensorBoard UI.
# Uninstallation
Uninstall package and dependent package with ```pip``` command .
```
pip uninstall PSTransformer torch tqdm datasets tokenizers tensorboard
```
# Contributing
See [contribution guidelines](https://github.com/ProgramerSalar/PSTransformer/blob/master/CONTRIBUTING.md) .
# CHANGELOG
## 1.0.0
- First Implemention version
- Add a function
- ```BilingualDataset()```
- ```build_transformer()```
## 2.0.0
- solve some Error, I will Get the package error
## 2.1.0
- First Stable relased version
## 2.2.0
- Improve document
- Update the README document
- Add the Licence
- some Required Things
## 2.3.0
- Update the Libarary
- add the Diffusion model function
- update the Readme document
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