Text Models
Project description
INGEOTEC Text Model package deals with the creation of labeled datasets using a self-supervised approach. It includes different text models developed for Arabic, English, Spanish languages, as well as the classes used to create them. Finally, it a modified Beam selection technique, tailored to text classification, that chooses those text models that are more suitable for a given text classification problem.
The documentation is on readthedocs.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
text_models-0.7.16.tar.gz
(6.7 MB
view hashes)
Built Distribution
Close
Hashes for text_models-0.7.16-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ae43f12d51c73345279a9d011e482db3bbb0affc00ee168faf10b8db2d655de |
|
MD5 | 5d12edfc580e459438e5c1cf704eb114 |
|
BLAKE2b-256 | 83767ba27eba02c2fef734e9d9c2d92bf24dc57055b91f41502a301020b74288 |