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 model.safetensors from divakantpandey/code-embed: direct link, hf CLI and curl.
- Browser
- Download file 526 MB
-
https://huggingface.co/divakantpandey/code-embed/resolve/main/model.safetensors
- Command line
-
hf download hf://divakantpandey/code-embed/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/divakantpandey/code-embed/resolve/main/model.safetensors
526 MB
- Xet hash:
- 53bc607196e2a475a4ab78678545859f7d20e053674c66d3e3b3b80fb46c6537
- Size of remote file:
- 526 MB
- SHA256:
- d013b306ee92fa36c45c0ced65e3b41742c9c14855ee2c1d9cae08bf0c3029e5
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