sentence-transformers
Safetensors
Etruscan
Latin
cross-lingual
low-resource-nlp
ancient-languages
etruscan
epigraphy
LoRA
LaBSE
XLM-R
Instructions to use Eddy1919/etr-lora-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Eddy1919/etr-lora-v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Eddy1919/etr-lora-v4") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
docs: correct model card against release-manifest.json (retracts the 99% macro F1 claim)
Browse files
README.md
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@@ -263,7 +263,7 @@ the model directly:
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author = {Panichi, Edoardo},
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title = {{OpenEtruscan: open-source digital corpus platform for Etruscan epigraphy}},
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year = {2026},
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version = {1.3.
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doi = {10.5281/zenodo.20075836},
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url = {https://doi.org/10.5281/zenodo.20075836},
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publisher = {Zenodo}
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author = {Panichi, Edoardo},
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title = {{OpenEtruscan: open-source digital corpus platform for Etruscan epigraphy}},
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year = {2026},
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version = {1.3.1},
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doi = {10.5281/zenodo.20075836},
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url = {https://doi.org/10.5281/zenodo.20075836},
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publisher = {Zenodo}
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