sentence-transformers
Safetensors
Etruscan
Latin
cross-lingual
low-resource-nlp
ancient-languages
etruscan
epigraphy
LoRA
LaBSE
XLM-R
Eval Results (legacy)
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
- Xet hash:
- 2d19c74cb72264856cb3921fc366462b04cc9a825453f0a0bdde6835e86b5887
- Size of remote file:
- 17.1 MB
- SHA256:
- abe9726b02fea865ca71b5b97cd26e57cf6623ac637c24cb85e701bfeacdfad7
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