Sentence Similarity
sentence-transformers
Safetensors
English
xlm-roberta
feature-extraction
dataset_size:n<1K
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Godefroyduchalard/solone-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Godefroyduchalard/solone-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Godefroyduchalard/solone-embedding") sentences = [ "All of them", "Constantly", "He looked a lot older.", "A white cat sits on a wall." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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