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
- Xet hash:
- 56fde17f10c8ed049ca0901904a3727e2d72777226093b38cea9720558557605
- Size of remote file:
- 34.4 MB
- SHA256:
- de27bf5c2fbcdba11be400fa35e39c2f4ef952aabd3b777c681d041dea35da4b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.