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
File size: 89 Bytes
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{
"idx": 0,
"name": "0",
"path": "",
"type": "slideon.SlideOn"
}
]
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