Feature Extraction
sentence-transformers
ONNX
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
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- modernbert
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- dense
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base_model: Shuu12121/NightOwl
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pipeline_tag:
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library_name: sentence-transformers
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license: apache-2.0
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datasets:
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- modernbert
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- dense
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base_model: Shuu12121/NightOwl
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pipeline_tag: feature-extraction
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library_name: sentence-transformers
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license: apache-2.0
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datasets:
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