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mmaguero/multilingual-bert-gn-base-cased
multilingual-bert-gn-base-cased is a fill-mask model from mmaguero. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
BERT multilingual base model (cased, pre-trained BERT model) fine-tuned for Guarani language modeling (104 languages + gn). Trained on Wikipedia + Wiktionary (~800K tokens).
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From the Hugging Face model README
BERT multilingual base model (cased, pre-trained BERT model) fine-tuned for Guarani language modeling (104 languages + gn). Trained on Wikipedia + Wiktionary (~800K tokens).
@article{aguero-et-al2023multi-affect-low-langs-grn,
title={Multidimensional Affective Analysis for Low-resource Languages: A Use Case with Guarani-Spanish Code-switching Language},
author={Agüero-Torales, Marvin Matías, López-Herrera, Antonio Gabriel, and Vilares, David},
journal={Cognitive Computation},
year={2023},
publisher={Springer},
notes={Forthcoming}
}