Instructions to use mrapacz/interlinear-pl-mt5-large-t-w-t-normalized-bh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-pl-mt5-large-t-w-t-normalized-bh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-pl-mt5-large-t-w-t-normalized-bh") model = AutoModelForMultimodalLM.from_pretrained("mrapacz/interlinear-pl-mt5-large-t-w-t-normalized-bh") - Notebooks
- Google Colab
- Kaggle
metadata
license: cc-by-sa-4.0
language:
- pl
metrics:
- bleu
base_model:
- mT5-large
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: mT5-large
- Tokenizer: mT5
- Language(s): Ancient Greek (source) → Polish (target)
- License: CC BY-NC-SA 4.0
- Tag Set: BH (Bible Hub)
- Text Preprocessing: Normalized
- Morphological Encoding: t-w-t (tags-within-text)
Model Performance
- BLEU Score: 0.17
- SemScore: 0.45