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Arm
/
pocket-tts-de-mix-precision

Text-to-Speech
Pocket-TTS
LiteRT
ONNX
GGUF
LiteRT
german
streaming
multi-speaker
sentencepiece
Model card Files Files and versions
xet
Community

Instructions to use Arm/pocket-tts-de-mix-precision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Pocket-TTS

    How to use Arm/pocket-tts-de-mix-precision with Pocket-TTS:

    from pocket_tts import TTSModel
    import scipy.io.wavfile
    
    tts_model = TTSModel.load_model("Arm/pocket-tts-de-mix-precision")
    voice_state = tts_model.get_state_for_audio_prompt(
        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
    )
    audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.")
    # Audio is a 1D torch tensor containing PCM data.
    scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())
  • LiteRT

    How to use Arm/pocket-tts-de-mix-precision with LiteRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use Arm/pocket-tts-de-mix-precision 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 Arm/pocket-tts-de-mix-precision
    # Run inference directly in the terminal:
    llama cli -hf Arm/pocket-tts-de-mix-precision
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Arm/pocket-tts-de-mix-precision
    # Run inference directly in the terminal:
    llama cli -hf Arm/pocket-tts-de-mix-precision
    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 Arm/pocket-tts-de-mix-precision
    # Run inference directly in the terminal:
    ./llama-cli -hf Arm/pocket-tts-de-mix-precision
    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 Arm/pocket-tts-de-mix-precision
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Arm/pocket-tts-de-mix-precision
    Use Docker
    docker model run hf.co/Arm/pocket-tts-de-mix-precision
  • LM Studio
  • Jan
  • Ollama

    How to use Arm/pocket-tts-de-mix-precision with Ollama:

    ollama run hf.co/Arm/pocket-tts-de-mix-precision
  • Unsloth Desktop
  • Docker Model Runner

    How to use Arm/pocket-tts-de-mix-precision with Docker Model Runner:

    docker model run hf.co/Arm/pocket-tts-de-mix-precision
  • Lemonade

    How to use Arm/pocket-tts-de-mix-precision with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Arm/pocket-tts-de-mix-precision
    Run and chat with the model
    lemonade run user.pocket-tts-de-mix-precision-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
pocket-tts-de-mix-precision
397 MB
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  • 1 contributor
History: 9 commits
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gimmy87
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