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    <p align="center">
        <a href="#readme">
            <img alt="logo" width="40%" src="https://i.imgur.com/yi6jwST.png">
        </a>
    </p>
    <p align="center">
        <a href="https://pypi.python.org/pypi/malaya"><img alt="Pypi version" src="https://badge.fury.io/py/malaya.svg"></a>
        <a href="https://pypi.python.org/pypi/malaya"><img alt="Python3 version" src="https://img.shields.io/pypi/pyversions/malaya.svg"></a>
        <a href="https://github.com/huseinzol05/Malaya/blob/master/LICENSE"><img alt="MIT License" src="https://img.shields.io/github/license/huseinzol05/malaya.svg?color=blue"></a>
        <a href="https://malaya.readthedocs.io/"><img alt="Documentation" src="https://readthedocs.org/projects/malaya/badge/?version=latest"></a>
        <a href="https://pepy.tech/project/malaya"><img alt="total stats" src="https://static.pepy.tech/badge/malaya"></a>
        <a href="https://pepy.tech/project/malaya"><img alt="download stats / month" src="https://static.pepy.tech/badge/malaya/month"></a>
        <a href="https://discord.gg/J3aSWyMy9A"><img alt="discord" src="https://img.shields.io/badge/discord%20-Malaysia_AI-rgb(118,138,212).svg"></a>
    </p>

=========

**Malaya** is a Natural-Language-Toolkit library for bahasa Malaysia, powered by PyTorch.

Documentation
--------------

Proper documentation is available at https://malaya.readthedocs.io/

Installing from the PyPI
----------------------------------

::

    $ pip install malaya

It will automatically install all dependencies except for PyTorch. So you can choose your own PyTorch CPU / GPU version.

Only **Python >= 3.6.0**, and **PyTorch >= 1.10** are supported.

If you are a Windows user, make sure read https://malaya.readthedocs.io/en/latest/running-on-windows.html

Development Release
---------------------------------

Install from `master` branch,

::

    $ pip install git+https://github.com/huseinzol05/malaya.git


We recommend to use **virtualenv** for development. 

Documentation at https://malaya.readthedocs.io/en/latest/

Pretrained Models
------------------

Malaya also released Malaysian pretrained models, simply check at https://huggingface.co/mesolitica

References
-----------

If you use our software for research, please cite:

::

  @misc{Malaya, Natural-Language-Toolkit library for bahasa Malaysia, powered by PyTorch,
    author = {Husein, Zolkepli},
    title = {Malaya},
    year = {2018},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/mesolitica/malaya}}
  }

Acknowledgement
----------------

Thanks to,

1. `KeyReply <https://www.keyreply.com/>`_ for private V100s cloud.

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2. `Nvidia <https://www.nvidia.com/en-us/>`_ for Azure credit.

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        <img alt="logo" width="20%" src="https://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/logo-and-brand/01-nvidia-logo-horiz-500x200-2c50-d@2x.png">
    </a>


3. `Tensorflow Research Cloud <https://www.tensorflow.org/tfrc>`_ for free TPUs access.

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    <a href="https://www.tensorflow.org/tfrc">
        <img alt="logo" width="20%" src="https://2.bp.blogspot.com/-xojf3dn8Ngc/WRubNXxUZJI/AAAAAAAAB1A/0W7o1hR_n20QcWyXHXDI1OTo7vXBR8f7QCLcB/s400/image2.png">
    </a>


Contributing
----------------

Thank you for contributing this library, really helps a lot. Feel free to contact me to suggest me anything or want to contribute other kind of forms, we accept everything, not just code!

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        <img alt="logo" width="30%" src="https://contributors-img.firebaseapp.com/image?repo=huseinzol05/malaya">
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