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
Ctrl+K