--- language: tl tags: - bert - tagalog - filipino license: gpl-3.0 inference: false --- # BERT Tagalog Base Cased (Whole Word Masking) 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. This particular version uses whole word masking. ## Usage The model can be loaded and used in both PyTorch and TensorFlow through the HuggingFace Transformers package. ```python from transformers import TFAutoModel, AutoModel, AutoTokenizer # TensorFlow model = TFAutoModel.from_pretrained('jcblaise/bert-tagalog-base-cased-WWM', from_pt=True) tokenizer = AutoTokenizer.from_pretrained('jcblaise/bert-tagalog-base-cased-WWM', do_lower_case=False) # PyTorch model = AutoModel.from_pretrained('jcblaise/bert-tagalog-base-cased-WWM') tokenizer = AutoTokenizer.from_pretrained('jcblaise/bert-tagalog-base-cased-WWM', do_lower_case=False) ``` Finetuning scripts and other utilities we use for our projects can be found in our centralized repository at https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks ## Citations 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: ``` @inproceedings{localization2020cruz, title={{Localization of Fake News Detection via Multitask Transfer Learning}}, author={Cruz, Jan Christian Blaise and Tan, Julianne Agatha and Cheng, Charibeth}, booktitle={Proceedings of The 12th Language Resources and Evaluation Conference}, pages={2589--2597}, year={2020}, url={https://www.aclweb.org/anthology/2020.lrec-1.315} } @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 and Other Resources Data used to train this model as well as other benchmark datasets in Filipino can be found in my website at https://blaisecruz.com ## Contact 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 jan_christian_cruz@dlsu.edu.ph