Feature Extraction
sentence-transformers
Safetensors
modernbert
code-search
code-embedding
retrieval
dense
text-embeddings-inference
Instructions to use Shuu12121/NightOwl-CodeEmbedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Shuu12121/NightOwl-CodeEmbedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Shuu12121/NightOwl-CodeEmbedding-v2") 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
File size: 89 Bytes
d875f0d | 1 2 3 4 5 | {
"embedding_dimension": 768,
"pooling_mode": "cls",
"include_prompt": true
} |