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-0.7.9.tar.gz
(6.7 MB
view hashes)
Built Distribution
Close
Hashes for text_models-0.7.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e09156c17a0e243b15fac80d40bfd04c9a514ae78f05493383732610eff841a2 |
|
MD5 | 5369809013fd87677c801d921126c30c |
|
BLAKE2b-256 | 56560deb9a5f165c1487eec663a69e7c4ccbdd3f6aa30564794aeb73bd77253d |