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-0.4.3.tar.gz
(11.2 kB
view hashes)
Built Distribution
Close
Hashes for text_models-0.4.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | edbd08523549f1cbe84429ac8052b8fd2fcafaef9429b8758a7ec6fe0f045221 |
|
MD5 | b914fade4b93dd499099303bf98ca068 |
|
BLAKE2b-256 | 07d602a7388d4757ad9099d6cd370c724d6657da3cfc0066d04bc5e3b241eb7e |