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:
- e7b36abcf1588c4499d6962730d8d96fdd6e09e223177cc34b8189f22302fb7e
- Size of remote file:
- 296 Bytes
- SHA256:
- d02ebf56344d20f773449b15d0c10ee9a86a9178f3b3c9bfecb8b87d4350ce38
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