metadata
license: mit
language:
- el
pipeline_tag: fill-mask
Logion base model
BERT-based model pretrained on largest set of pre-modern Greek to-date (70+ million words). It was introduced in this paper. This model ignores cases and accents/diacritics.
How to use
Requirements:
pip install transformers
Load the model and tokenizer directly from the HuggingFace Model Hub:
from transformers import BertTokenizer, BertForMaskedLM
tokenizer = BertTokenizer.from_pretrained("princeton-logion/logion-bert-base")
model = BertForMaskedLM.from_pretrained("princeton-logion/logion-bert-base")
Cite
If you use this model in your research, please cite the paper:
@inproceedings{cowen-breen-etal-2023-logion,
title = "Logion: Machine-Learning Based Detection and Correction of Textual Errors in {G}reek Philology",
author = "Cowen-Breen, Charlie and
Brooks, Creston and
Graziosi, Barbara and
Haubold, Johannes",
booktitle = "Proceedings of the Ancient Language Processing Workshop",
year = "2023",
url = "https://aclanthology.org/2023.alp-1.20",
pages = "170--178",
}