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-0.6.4.tar.gz
(5.5 MB
view hashes)
Built Distribution
Close
Hashes for text_models-0.6.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 078a02a5cb8a888ce21445c17f5c98a30bc36dd1c97788898c5bdd1bb430ef6e |
|
MD5 | 16c320d4448b0fadb2b062220c93f664 |
|
BLAKE2b-256 | 7fd6440f077d461a3a529afbef988453265435b455f1c6839fc9012804ad2002 |