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-0.7.6.tar.gz
(6.7 MB
view hashes)
Built Distribution
Close
Hashes for text_models-0.7.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 083b79357a278768dde540f1016b60943082ea08be297ab147c623cb31ea6be0 |
|
MD5 | 219ea57844e3e1ef82e43927b4133d10 |
|
BLAKE2b-256 | 40bc07819617d1a0d872799015e572a02d0fa7e2257610b67f47f41df1d473ab |