Sentence Similarity
Safetensors
sentence-transformers
PyLate
modernbert
ColBERT
feature-extraction
multilingual
code search
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use lightonai/mLateOn-unsupervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/mLateOn-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/mLateOn-unsupervised") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Initial commit
Co-authored-by: Paulo de Moura <Paulo de Moura@users.noreply.huggingface.co> Co-authored-by: ameliechatelain <ameliechatelain@users.noreply.huggingface.co> Co-authored-by: NohTow <NohTow@users.noreply.huggingface.co>e476b2b