| Name | malaya JSON |
| Version |
5.1.1
JSON |
| download |
| home_page | https://github.com/huseinzol05/Malaya |
| Summary | Natural-Language-Toolkit for bahasa Malaysia, powered by Tensorflow and PyTorch. |
| upload_time | 2024-03-28 17:21:04 |
| maintainer | None |
| docs_url | None |
| author | huseinzol05 |
| requires_python | >=3.6 |
| license | MIT |
| keywords |
nlp
bm
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
**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 `KeyReply <https://www.keyreply.com/>`_ for private V100s cloud and `Mesolitica <https://mesolitica.com/>`_ for private RTXs cloud to train Malaya-Speech models.
Also, thanks to `Tensorflow Research Cloud <https://www.tensorflow.org/tfrc>`_ for free TPUs access.
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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