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
Download modules.json from lightonai/SlideOn-SAE: direct link, hf CLI and curl.
- Browser
- Download file 89 Bytes
-
https://huggingface.co/lightonai/SlideOn-SAE/resolve/main/modules.json
- Command line
-
hf download hf://lightonai/SlideOn-SAE/modules.json
-
curl -L -o modules.json https://huggingface.co/lightonai/SlideOn-SAE/resolve/main/modules.json
89 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "slideon.SlideOn" | |
| } | |
| ] | |