Instructions to use UGARIT/grc-alignment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UGARIT/grc-alignment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UGARIT/grc-alignment")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UGARIT/grc-alignment") model = AutoModelForMaskedLM.from_pretrained("UGARIT/grc-alignment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Automatic Translation Alignment of Ancient Greek Texts
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GRC-ALIGNMENT model is an XLM-RoBERTa-based model, trained on 12 million monolingual ancient Greek tokens. and 45k parallel sentences mainly in ancient Greek-English, ancient Greek-Latin, and ancient Greek-Georgian.
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