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
Download onnx/model.onnx from divakantpandey/code-embed: direct link, hf CLI and curl.
- Browser
- Download file 538 MB
-
https://huggingface.co/divakantpandey/code-embed/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://divakantpandey/code-embed/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/divakantpandey/code-embed/resolve/main/onnx/model.onnx
538 MB
- Xet hash:
- cb83f6571a5b61b85051fdf114ab2b5dfedf49898f28d54589df228c700ab637
- Size of remote file:
- 538 MB
- SHA256:
- 0d5b573befb66459c36aa5fdb109dcb46cc92b605be87607f9011195d4a54ea8
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