kumar


Namekumar JSON
Version 5.4.0 PyPI version JSON
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home_pageNone
Summary`kumar` is a Python package that provides two high-level features.
upload_time2024-09-14 17:50:22
maintainerNone
docs_urlNone
authormanishkumar60708090@gmail.com
requires_pythonNone
licenseNone
keywords python transformer chat-gpt transformer
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            


[![Build Status](https://github.com/raimon49/pip-licenses/workflows/Python%20package/badge.svg)](https://github.com/ProgramerSalar/kumar) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pip-licenses.svg)](https://www.python.org/downloads/) [![PyPI version](https://badge.fury.io/py/pip-licenses.svg)](https://pypi.org/project/kumar/) [![GitHub Release](https://img.shields.io/github/release/raimon49/pip-licenses.svg)](https://pypi.org/project/kumar/#history)  [![MIT License](http://img.shields.io/badge/license-MIT-green.svg)](https://github.com/ProgramerSalar/kumar/blob/master/LICENSE) [![PyPI - Downloads](https://img.shields.io/pypi/dm/pip-licenses)]()





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/kumar/blob/master/Readme_File/REFERENCE.md)

* [Uninstallation](#uninstallation)

* [Contributing](#contributing)

* [CHANGELOG](#CHANGELOG)







## Description



`kumar` is a Python package that provides two high-level features.





## installation

```

pip install kumar==<version>



            OR



pip install kumar

```













## license 

[MIT Licence](https://github.com/ProgramerSalar/kumar/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 kumar torch tqdm datasets tokenizers tensorboard

```



# Contributing 

See [contribution guidelines](https://github.com/ProgramerSalar/kumar/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 







## 3.0.0

- Improve document

    - Update the README document

    - Add the Licence 

    - some Required Things 





## 4.0.0 

- Update the Libarary 

    - add the Diffusion model function 

    - update the Readme document





## 5.0.0

- update the library

    - update the Readme file





## 5.4.0 

- stable version of this library





    






            

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