Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
feature-extraction
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use lightonai/LateOn-unsupervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/LateOn-unsupervised with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="lightonai/LateOn-unsupervised") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from lightonai/LateOn-unsupervised: direct link, hf CLI and curl.
- Browser
- Download file 596 MB
-
https://huggingface.co/lightonai/LateOn-unsupervised/resolve/main/model.safetensors
- Command line
-
hf download hf://lightonai/LateOn-unsupervised/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/lightonai/LateOn-unsupervised/resolve/main/model.safetensors
596 MB
- Xet hash:
- 91a7ede56ac883fdb5cb26231d99cc41e115ec5bdfd0343a7904b8dc759d5944
- Size of remote file:
- 596 MB
- SHA256:
- bfd67c9e8bcb016d842c2308bd86ce1c58c697d05e5af172c6cc6bdfffdacb29
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