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sergeyzh
/
rubert-mini-uncased-GGUF

Sentence Similarity
Transformers
GGUF
sentence-transformers
Russian
English
russian
pretraining
embeddings
tiny
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use sergeyzh/rubert-mini-uncased-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sergeyzh/rubert-mini-uncased-GGUF with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sergeyzh/rubert-mini-uncased-GGUF", device_map="auto")
  • sentence-transformers

    How to use sergeyzh/rubert-mini-uncased-GGUF with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sergeyzh/rubert-mini-uncased-GGUF")
    
    sentences = [
        "Это счастливый человек",
        "Это счастливая собака",
        "Это очень счастливый человек",
        "Сегодня солнечный день"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use sergeyzh/rubert-mini-uncased-GGUF with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    # Run inference directly in the terminal:
    llama cli -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    # Run inference directly in the terminal:
    llama cli -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf sergeyzh/rubert-mini-uncased-GGUF:F16
    Use Docker
    docker model run hf.co/sergeyzh/rubert-mini-uncased-GGUF:F16
  • LM Studio
  • Jan
  • Ollama

    How to use sergeyzh/rubert-mini-uncased-GGUF with Ollama:

    ollama run hf.co/sergeyzh/rubert-mini-uncased-GGUF:F16
  • Unsloth Desktop
  • Docker Model Runner

    How to use sergeyzh/rubert-mini-uncased-GGUF with Docker Model Runner:

    docker model run hf.co/sergeyzh/rubert-mini-uncased-GGUF:F16
  • Lemonade

    How to use sergeyzh/rubert-mini-uncased-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull sergeyzh/rubert-mini-uncased-GGUF:F16
    Run and chat with the model
    lemonade run user.rubert-mini-uncased-GGUF-F16
    List all available models
    lemonade list
  • Atomic Chat
rubert-mini-uncased-GGUF
268 MB
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  • 1 contributor
History: 2 commits
sergeyzh's picture
sergeyzh
Upload 4 files
ff9c58a verified over 1 year ago
  • .gitattributes
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  • README.md
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  • rubert-mini-uncased-f16.gguf
    76.4 MB
    xet
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  • rubert-mini-uncased-f32.gguf
    150 MB
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  • rubert-mini-uncased-q8_0.gguf
    41.9 MB
    xet
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