Feature Extraction
sentence-transformers
ONNX
Safetensors
English
code
roberta
python
code-search
code-embeddings
unixcoder
matryoshka
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use divakantpandey/code-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use divakantpandey/code-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("divakantpandey/code-embed") 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
Commit History
4 days ago
-
docs: standardize code-embed-v2 cross-reference to 150M category
Verified signature349a0e8
15 days ago
-
docs: add banner linking to code-embed-v2 and official MTEB leaderboard achievements
Verified signature4d77882
21 days ago
-
Upload CodeEmbed model weights and configuration
Verified signature2f98d98 -
Upload CodeEmbed model weights and configuration
Verified signature40781c4