Wakong
Wakong: An appropriate and robust masking algorithm for generating the training objective of text infilling
This project is the Python library of ARP 1: The Wakong Algorithm and Its Python Implementation.
This project is supported by Cloud TPUs from Google's TPU Research Cloud (TRC) as a part of my project on large-scale language model pre-training.
Installation
Wakong supports Python 3.10 and above:
pip install wakong
You can also install from source:
flit install
Usage
from wakong import Wakong
wakong = Wakong(seed=42)
sentence = 'I can eat glass , it does not hurt me .'.split(' ')
print(wakong(sentence))
Output:
['I', '<mask>', 'eat', 'glass', '<mask>', ',', 'it', 'does', 'not', 'hurt', 'me', '.']
1 maintainer
Metadata
1 maintainer
Release files for wakong 1.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| wakong-1.1.1.tar.gz | 8.6 kB | Without provenance | Details for wakong-1.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| wakong-1.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for wakong-1.1.1-py2.py3-none-any.whl |
Total release size: 17.2 kB
Release files / wakong-1.1.1.tar.gz
| Download URL | wakong-1.1.1.tar.gz |
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| Size | 8.6 kB |
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Release files / wakong-1.1.1-py2.py3-none-any.whl
| Download URL | wakong-1.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 2 Python 3 |
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