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beto-gn-base-cased
mmaguero/beto-gn-base-cased
beto-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.
BETO-base-cased (pre-trained Spanish BERT model) fine-tuned for Guarani language modeling (Spanish + Guarani). Trained on Wikipedia + Wiktionary (~800K tokens).
All-time downloads
754
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Repo size
1.3 GB
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 4, 2022
- Updated
- Jun 6, 2023
- SHA
- 54bba3e3
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Datasets
Model card
From the Hugging Face model README
BETO+gn-base-cased
BETO-base-cased (pre-trained Spanish BERT model) fine-tuned for Guarani language modeling (Spanish + Guarani). Trained on Wikipedia + Wiktionary (~800K tokens).
How cite?
@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}
}
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- gn, es
- Created
- Mar 4, 2022
- Updated
- Jun 6, 2023