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divakantpandey
/
code-embed-v2

Feature Extraction
sentence-transformers
Safetensors
English
code
roberta
python
javascript
go
java
ruby
php
code-search
code-embeddings
multilingual
matryoshka
unixcoder
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use divakantpandey/code-embed-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use divakantpandey/code-embed-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("divakantpandey/code-embed-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
code-embed-v2 / 2_Dense
4.73 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
divakantpandey's picture
divakantpandey
Update code-embed-v2: Fast Lane fine-tuned weights (+21.52% macro gain across 17 MTEB benchmarks)
d7759ca verified 2 days ago
  • config.json
    228 Bytes
    Release CodeEmbed v2: Multilingual code embeddings (MTEB 40.64% NDCG@10) 3 days ago
  • model.safetensors
    4.72 MB
    xet
    Update code-embed-v2: Fast Lane fine-tuned weights (+21.52% macro gain across 17 MTEB benchmarks) 2 days ago