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jcblaise/bert-tagalog-base-cased
bert-tagalog-base-cased is a fill-mask model from jcblaise. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as gpl-3.0.
Deprecation Notice This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available. Use jcblaise/roberta-tagalog-base or jcblaise/roberta-tagalog-large instead for better per…
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From the Hugging Face model README
Deprecation Notice
This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available.
Use jcblaise/roberta-tagalog-base or jcblaise/roberta-tagalog-large instead for better performance.
Tagalog version of BERT trained on a large preprocessed text corpus scraped and sourced from the internet. This model is part of a larger research project. We open-source the model to allow greater usage within the Filipino NLP community.
All model details and training setups can be found in our papers. If you use our model or find it useful in your projects, please cite our work:
@article{cruz2020establishing,
title={Establishing Baselines for Text Classification in Low-Resource Languages},
author={Cruz, Jan Christian Blaise and Cheng, Charibeth},
journal={arXiv preprint arXiv:2005.02068},
year={2020}
}
@article{cruz2019evaluating,
title={Evaluating Language Model Finetuning Techniques for Low-resource Languages},
author={Cruz, Jan Christian Blaise and Cheng, Charibeth},
journal={arXiv preprint arXiv:1907.00409},
year={2019}
}
Data used to train this model as well as other benchmark datasets in Filipino can be found in my website at https://blaisecruz.com
If you have questions, concerns, or if you just want to chat about NLP and low-resource languages in general, you may reach me through my work email at [email protected]