Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:66
loss:MultipleNegativesRankingLoss
Instructions to use Godefroyduchalard/solone-embedding-final1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Godefroyduchalard/solone-embedding-final1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Godefroyduchalard/solone-embedding-final1") sentences = [ "conciliable", "Révision générale des politiques publiques", "Qui est incapable d'être réconcilié, accordé ou convenu en raison de sa non-compliance aux normes de confidentialité.", "Qui peut être réconcilié, accordé ou convenu." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K