Fill-Mask
Transformers
Safetensors
Ancient Greek (to 1453)
Greek
bert
ancient-greek
papyrology
herculaneum-papyri
lacuna-infilling
text-restoration
masked-language-modeling
greekschools
erc-885222
cnr-ilc
Eval Results (legacy)
Instructions to use CNR-ILC/gs-Logion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CNR-ILC/gs-Logion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CNR-ILC/gs-Logion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CNR-ILC/gs-Logion") model = AutoModelForMaskedLM.from_pretrained("CNR-ILC/gs-Logion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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