Translation
Transformers
Safetensors
PEFT
Ancient Greek (to 1453)
Greek
machine-translation
ancient-greek
modern-greek
m2m100
qlora
natural language processing
computational linguistics
Instructions to use ilsp/m2m100-1.2B-ag-mg-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilsp/m2m100-1.2B-ag-mg-qlora with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="ilsp/m2m100-1.2B-ag-mg-qlora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ilsp/m2m100-1.2B-ag-mg-qlora", device_map="auto") - PEFT
How to use ilsp/m2m100-1.2B-ag-mg-qlora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -183,11 +183,26 @@ Evaluated on the 250 sentence-pairs Stress Set (Ionic, Doric, Homeric dialects).
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If you use this model, please cite our LREC 2026 paper:
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> Mavromatis, S., Sofianopoulos, S., Prokopidis, P., & Giagkou, M. (2026).
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> *Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark
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You may also cite the related M.Sc. thesis:
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If you use this model, please cite our LREC 2026 paper:
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> Mavromatis, S., Sofianopoulos, S., Prokopidis, P., & Giagkou, M. (2026).
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> *Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and
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> Fine-Tuning Experiments on LLMs and NMT Models.* In Proceedings of the
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> Fifteenth Language Resources and Evaluation Conference (LREC 2026)
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> (pp. 8685–8698). European Language Resources Association (ELRA).
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> https://doi.org/10.63317/4cdk64dgm2w9
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```bibtex
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@inproceedings{mavromatis-etal-2026-ancient,
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title = {Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models},
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author = {Mavromatis, Spyridon and Sofianopoulos, Sokratis and Prokopidis, Prokopis and Giagkou, Maria},
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booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
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month = {May},
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year = {2026},
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pages = {8685--8698},
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address = {Palma, Mallorca, Spain},
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publisher = {European Language Resources Association (ELRA)},
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editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
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doi = {10.63317/4cdk64dgm2w9}
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}
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```
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You may also cite the related M.Sc. thesis:
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