Sentence Similarity
ONNX
Safetensors
sentence-transformers
English
code
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:2117771
loss:Contrastive
embeddings
retrieval
code search
Eval Results (legacy)
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use lightonai/LateOn-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/LateOn-Code 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-Code") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25ccad15817fd4f098c0a8bc7fd6168f2a790d75962802fc6f89fa69d6d1224b
- Size of remote file:
- 597 MB
- SHA256:
- 75f8f308994224ac88d580d5a37b68e94bd78be4887b7beb8578ed8b30bad242
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