Instructions to use mrapacz/interlinear-en-greta-baseline-normalized-unused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-en-greta-baseline-normalized-unused with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-en-greta-baseline-normalized-unused") model = AutoModelForMultimodalLM.from_pretrained("mrapacz/interlinear-en-greta-baseline-normalized-unused") - Notebooks
- Google Colab
- Kaggle
| license: cc-by-sa-4.0 | |
| language: | |
| - en | |
| metrics: | |
| - bleu | |
| base_model: | |
| - GreTa | |
| library_name: transformers | |
| datasets: | |
| - mrapacz/greek-interlinear-translations | |
| # Model Card for Ancient Greek to English 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) → English (target) | |
| - **License:** CC BY-NC-SA 4.0 | |
| - **Tag Set:** Unused | |
| - **Text Preprocessing:** Normalized | |
| - **Morphological Encoding:** baseline (text only, no morphological tags) | |
| ### Model Performance | |
| - **BLEU Score:** 16.77 | |
| - **SemScore:** 0.56 | |
| ### Model Sources | |
| - **Repository:** https://github.com/mrapacz/loreslm-interlinear-translation | |
| - **Paper:** https://aclanthology.org/2025.loreslm-1.11/ | |