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divakantpandey
/
code-embed-v2

Feature Extraction
sentence-transformers
ONNX
Safetensors
GGUF
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
  • Local Apps Settings
  • llama.cpp

    How to use divakantpandey/code-embed-v2 with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible embeddings server:
    llama serve -hf divakantpandey/code-embed-v2:Q8_0 --embeddings
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible embeddings server:
    llama serve -hf divakantpandey/code-embed-v2:Q8_0 --embeddings
    Build from source code
    git clone https://github.com/ggml-org/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-app
    # Start a local OpenAI-compatible embeddings server:
    ./build/bin/llama serve -hf divakantpandey/code-embed-v2:Q8_0 --embeddings
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use divakantpandey/code-embed-v2 with Ollama:

    ollama run hf.co/divakantpandey/code-embed-v2:Q8_0
  • Unsloth Desktop
  • Docker Model Runner

    How to use divakantpandey/code-embed-v2 with Docker Model Runner:

    docker model run hf.co/divakantpandey/code-embed-v2:Q8_0
  • Lemonade

    How to use divakantpandey/code-embed-v2 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull divakantpandey/code-embed-v2:Q8_0
    Run and chat with the model
    lemonade run user.code-embed-v2-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
code-embed-v2 / 3_Dense
9.44 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 17 days ago
  • config.json
    229 Bytes
    Release CodeEmbed v2: Multilingual code embeddings (MTEB 40.64% NDCG@10) 18 days ago
  • model.safetensors
    9.44 MB
    xet
    Update code-embed-v2: Fast Lane fine-tuned weights (+21.52% macro gain across 17 MTEB benchmarks) 17 days ago