rynoxli/multilingual-iptc-news-topic-classifier

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Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

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This Cog model wrapper is based on the following work and is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC-BY-SA 4.0) in compliance with the original model’s license.

=== Original Model ===

Model: Multilingual IPTC News Topic Classifier Authors: Taja Kuzman, Nikola Ljubešić (CLASSLA – CLARIN Knowledge Centre for South Slavic Languages) Source: https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier DOI: https://doi.org/10.57967/hf/4709 License: Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0)

Citation:

@ARTICLE{10900365, author={Kuzman, Taja and Ljubešić, Nikola}, journal={IEEE Access}, title={LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification}, year={2025}, doi={10.1109/ACCESS.2025.3544814} }

=== License ===

Creative Commons Attribution-ShareAlike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/

You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose

Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Model created