Sentence Similarity
sentence-transformers
Safetensors
Luxembourgish
Luxembourgish
feature-extraction
Instructions to use fredxlpy/LuxEmbedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fredxlpy/LuxEmbedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fredxlpy/LuxEmbedder") 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:
- 3a1d3cf2baa28d141bbb71b736532298426f193b1aeeede990e41856e25549d4
- Size of remote file:
- 2.36 MB
- SHA256:
- 163cf704cb4d2089d2e328f924d34552cf12d86d399aa83c12135220ddab3433
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