Feature Extraction
sentence-transformers
Safetensors
English
slideon
sparse
custom-code
sparse-autoencoder
sparse-retrieval
custom_code
🇪🇺 Region: EU
Instructions to use lightonai/SlideOn-SAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/SlideOn-SAE with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lightonai/SlideOn-SAE", trust_remote_code=True) 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
Commit History
Today
-
Use max_active_dims for pooled latent pruning
Paulo de Mourab624fe8 -
Add sparse model tag
Verified signaturebfbd603
5 days ago
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Initial release
9372da2