# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("AUEB-NLP/ByT5_g2g")
model = AutoModelForSeq2SeqLM.from_pretrained("AUEB-NLP/ByT5_g2g")ByT5 Greeklish to Greek Conversion Model
Model Overview
This model is a finetuned version of the ByT5 transformer model specifically trained to convert Greeklish (Greek written with Latin characters) to Greek (Greek written with Greek characters). The base model, ByT5, is a variant of the T5 model that operates directly on byte sequences, making it particularly well-suited for tasks involving text written in non-standard forms or using non-standard characters.
Model Details
- Model Name: ByT5_g2g
- Model Architecture: ByT5
- Finetuned for Task: Greeklish to Greek Transliteration
Model Sources
Paper: Toumazatos, A., Pavlopoulos, J., Androutsopoulos, I., & Vassos, S. (2024). Still All Greeklish to Me: Greeklish to Greek Transliteration. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 15309–15319). ELRA and ICCL.
Repository: https://github.com/nlpaueb/greeklish
Points of contact: spirosbarbakos@gmail.com, tatoumazatos@gmail.com
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AUEB-NLP/ByT5_g2g")