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
metadata
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