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logion-bert-ate
princeton-logion/logion-bert-ate
logion-bert-ate is a fill-mask model from princeton-logion. Use it when you need the model to fill a missing word. The card lists the license as mit.
Logion Base BERT model fine-tuned to Aristotle, Theophrastus, and Eudlic texts.
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1.5 GB on disk
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At a glance
- Task
- Fill-Mask
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025
- SHA
- f365ad43
Base models
Model card
From the Hugging Face model README
Logion ATE model (BERT-based)
Logion Base BERT model fine-tuned to Aristotle, Theophrastus, and Eudlic texts.
Fine-tuned for mask-filling on a set of 1.5+ million words (all of Theophrastus, Euclid, and Aristotle, minus De lineis insecabilibus).
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-ate")
model = BertForMaskedLM.from_pretrained("princeton-logion/logion-bert-ate")
Cite
If you use this model in your research, please cite the repo.
- Task
- Fill-Mask
- Type
- bert
- License
- mit
- Languages
- el
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025