Sentence Similarity
Safetensors
sentence-transformers
English
code
PyLate
modernbert
ColBERT
code-search
code-retrieval
late-interaction
reasoning
text-embeddings-inference
Instructions to use ctrltokyo/Reason-Code-ModernColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ctrltokyo/Reason-Code-ModernColBERT 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="ctrltokyo/Reason-Code-ModernColBERT") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Commit History
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First reasoning-enhanced ColBERT for code search
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Update: cite LateOn-Code, remove first-ColBERT claim, clarify reasoning approach
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Add CodeSearchNet MRR benchmark results
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Add model card
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Upload Reason-Code-ModernColBERT (first ColBERT for code search)
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initial commit
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