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
6 days ago
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fix: strictly cap max_seq_length and model_max_length to 8192 for RoBERTa position embeddings
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Upload CodeEmbed model weights and configuration
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