Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
feature-extraction
code-search
knowledge-distillation
apple-silicon
mps
text-embeddings-inference
Instructions to use ctrltokyo/ColBERT-Zero-6L-CodeSearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ctrltokyo/ColBERT-Zero-6L-CodeSearch 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/ColBERT-Zero-6L-CodeSearch") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2e015b804e5e9ceec70e148c5bb163bd94f3f3968296c2147d1adadbc66615b
- Size of remote file:
- 393 kB
- SHA256:
- 822689f663f47e123f2e8c627f814ea86ed8fbf5727843cdc91b25d43da7c973
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