Text Retrieval
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
sentence-similarity
feature-extraction
late-interaction
reasoning-retrieval
edge
loss:CachedContrastive
Instructions to use DataScience-UIBK/SmallReason-ColBERT-32M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use DataScience-UIBK/SmallReason-ColBERT-32M 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="DataScience-UIBK/SmallReason-ColBERT-32M") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Commit History
20 days ago
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Update pipeline tag and add paper link (#1)
- Update pipeline tag and add paper link (ba79353ccf71c4cf107e40a8e184d7503e392275) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>968c251
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Add author list and EMNLP 2026 citation
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Clarify head-loading behaviour
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Add SmallReason-ColBERT-32M: base + 129-param importance head
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initial commit
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