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CSI-lab
/
US-state-law-EmbeddingGemma-2-GGUF

Feature Extraction
Transformers
GGUF
sentence-transformers
English
GGUF
embedding
legal
law
WA
multimodal-embedding
multimodal
sentence-similarity
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="CSI-lab/US-state-law-EmbeddingGemma-2-GGUF")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("CSI-lab/US-state-law-EmbeddingGemma-2-GGUF", device_map="auto")
  • sentence-transformers

    How to use CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("CSI-lab/US-state-law-EmbeddingGemma-2-GGUF")
    
    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 CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible embeddings server:
    llama serve -hf CSI-lab/US-state-law-EmbeddingGemma-2-GGUF:Q4_K_M --embeddings
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible embeddings server:
    llama serve -hf CSI-lab/US-state-law-EmbeddingGemma-2-GGUF:Q4_K_M --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 CSI-lab/US-state-law-EmbeddingGemma-2-GGUF:Q4_K_M --embeddings
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with Ollama:

    ollama run hf.co/CSI-lab/US-state-law-EmbeddingGemma-2-GGUF:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with Docker Model Runner:

    docker model run hf.co/CSI-lab/US-state-law-EmbeddingGemma-2-GGUF:Q4_K_M
  • Lemonade

    How to use CSI-lab/US-state-law-EmbeddingGemma-2-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull CSI-lab/US-state-law-EmbeddingGemma-2-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.US-state-law-EmbeddingGemma-2-GGUF-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
US-state-law-EmbeddingGemma-2-GGUF
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  • 1 contributor
History: 5 commits
CSI-lab's picture
CSI-lab
Update README.md
372dcf4 verified 2 days ago
  • .gitattributes
    1.59 kB
    Upload LawEmeddingGemma-2.Q4_K_M.gguf 6 days ago
  • LawEmeddingGemma-2.Q4_K_M.gguf
    182 MB
    xet
    Upload LawEmeddingGemma-2.Q4_K_M.gguf 6 days ago
  • README.md
    47 kB
    Update README.md 2 days ago