Feature Extraction
sentence-transformers
Safetensors
modernbert
code-search
code-embedding
retrieval
dense
text-embeddings-inference
Instructions to use Shuu12121/NightOwl-CodeEmbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Shuu12121/NightOwl-CodeEmbedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Shuu12121/NightOwl-CodeEmbedding") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 846cd6ccb89fc1ad06df8ca9b0624027adb7645a113ce917ffc0c354601ac4ee
- Size of remote file:
- 603 MB
- SHA256:
- 1412834419d47ddd05c6706c65c6fb5792aa2cbfbe18bc5411a18c77056e4dbe
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