How to use MatterWaveAI/grt-30m-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="MatterWaveAI/grt-30m-tts")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("MatterWaveAI/grt-30m-tts", device_map="auto")
How to use MatterWaveAI/grt-30m-tts with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf MatterWaveAI/grt-30m-tts:F16 # Run inference directly in the terminal: llama cli -hf MatterWaveAI/grt-30m-tts:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MatterWaveAI/grt-30m-tts:F16 # Run inference directly in the terminal: llama cli -hf MatterWaveAI/grt-30m-tts:F16
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 server with a web UI: ./build/bin/llama serve -hf MatterWaveAI/grt-30m-tts:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf MatterWaveAI/grt-30m-tts:F16
docker model run hf.co/MatterWaveAI/grt-30m-tts:F16
How to use MatterWaveAI/grt-30m-tts with Ollama:
ollama run hf.co/MatterWaveAI/grt-30m-tts:F16
How to use MatterWaveAI/grt-30m-tts with Docker Model Runner:
How to use MatterWaveAI/grt-30m-tts with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MatterWaveAI/grt-30m-tts:F16
lemonade run user.grt-30m-tts-F16
lemonade list
