Instructions to use mrapacz/interlinear-pl-greta-t-w-t-diacritics-bh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-pl-greta-t-w-t-diacritics-bh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-pl-greta-t-w-t-diacritics-bh") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-pl-greta-t-w-t-diacritics-bh") - Notebooks
- Google Colab
- Kaggle
File size: 1,018 Bytes
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license: cc-by-sa-4.0
language:
- pl
metrics:
- bleu
base_model:
- GreTa
library_name: transformers
datasets:
- mrapacz/greek-interlinear-translations
---
# Model Card for Ancient Greek to Polish Interlinear Translation Model
This model performs interlinear translation from Ancient Greek to {Language}, maintaining word-level alignment between source and target texts.
## Model Details
### Model Description
- **Developed By:** Maciej Rapacz, AGH University of Kraków
- **Model Type:** Neural machine translation (T5-based)
- **Base Model:** GreTa
- **Tokenizer:** GreTa
- **Language(s):** Ancient Greek (source) → Polish (target)
- **License:** CC BY-NC-SA 4.0
- **Tag Set:** BH (Bible Hub)
- **Text Preprocessing:** Diacritics
- **Morphological Encoding:** t-w-t (tags-within-text)
### Model Performance
- **BLEU Score:** 0.49
- **SemScore:** 0.51
### Model Sources
- **Repository:** https://github.com/mrapacz/loreslm-interlinear-translation
- **Paper:** https://aclanthology.org/2025.loreslm-1.11/
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