Sponsored by
Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
Performance of models on Daily News Dikgang dataset
Model
5-fold Cross Validation F1
Test F1
Logistic Regression + TFIDF
60.1
56.2
NCHLT TSN RoBERTa
64.7
60.3
PuoBERTa
63.8
62.9
PuoBERTaJW300
66.2
65.4
Usage
Use this model for Part of text classification for Setswana.
Citation Information
Bibtex Reference
@inproceedings{marivate2023puoberta,
title = {PuoBERTa: Training and evaluation of a curated language model for Setswana},
author = {Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
year = {2023},
booktitle= {Artificial Intelligence Research. SACAIR 2023. Communications in Computer and Information Science},
url= {https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17},
keywords = {NLP},
preprint_url = {https://arxiv.org/abs/2310.09141},
dataset_url = {https://github.com/dsfsi/PuoBERTa},
software_url = {https://huggingface.co/dsfsi/PuoBERTa}
}
Contributing
Your contributions are welcome! Feel free to improve the model.
Model Card Authors
Vukosi Marivate
Model Card Contact
For more details, reach out or check our
website
.
PuoBERTa-News huggingface.co is an AI model on huggingface.co that provides PuoBERTa-News's model effect (), which can be used instantly with this dsfsi PuoBERTa-News model. huggingface.co supports a free trial of the PuoBERTa-News model, and also provides paid use of the PuoBERTa-News. Support call PuoBERTa-News model through api, including Node.js, Python, http.
PuoBERTa-News huggingface.co is an online trial and call api platform, which integrates PuoBERTa-News's modeling effects, including api services, and provides a free online trial of PuoBERTa-News, you can try PuoBERTa-News online for free by clicking the link below.
dsfsi PuoBERTa-News online free url in huggingface.co:
PuoBERTa-News is an open source model from GitHub that offers a free installation service, and any user can find PuoBERTa-News on GitHub to install. At the same time, huggingface.co provides the effect of PuoBERTa-News install, users can directly use PuoBERTa-News installed effect in huggingface.co for debugging and trial. It also supports api for free installation.