Text-to-Speech
Transformers
Safetensors
GGUF
grt_tts
text-generation
grt
grt-tts
audio
rotational-transformer
givens-rotations
sophia-torus
matterwave
Instructions to use MatterWaveAI/grt-30m-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MatterWaveAI/grt-30m-tts 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 MatterWaveAI/grt-30m-tts:F16 # Run inference directly in the terminal: llama cli -hf MatterWaveAI/grt-30m-tts:F16
Install from WinGet (Windows)
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
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 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
Use Docker
docker model run hf.co/MatterWaveAI/grt-30m-tts:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use MatterWaveAI/grt-30m-tts with Ollama:
ollama run hf.co/MatterWaveAI/grt-30m-tts:F16
- Unsloth Desktop
- Docker Model Runner
How to use MatterWaveAI/grt-30m-tts with Docker Model Runner:
docker model run hf.co/MatterWaveAI/grt-30m-tts:F16
- Lemonade
How to use MatterWaveAI/grt-30m-tts with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MatterWaveAI/grt-30m-tts:F16
Run and chat with the model
lemonade run user.grt-30m-tts-F16
List all available models
lemonade list
- Atomic Chat
Publish MatterWaveAI/grt-30m-tts model checkpoint, config, tokenizer, audio sample, and card
23c4011 verified Download tokenizer.json from MatterWaveAI/grt-30m-tts: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MatterWaveAI/grt-30m-tts/resolve/main/tokenizer.json
- Command line
-
hf download hf://MatterWaveAI/grt-30m-tts/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MatterWaveAI/grt-30m-tts/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 79629a43f1bf1d211e2875a4cbed90d90214cf01f7ef21e45ecf0a4bb19d5d61
- Size of remote file:
- 11.4 MB
- SHA256:
- 3630772ed48d0abda7345bfa89cf3fa00bc54486e3a78971c705b93d5b5fdf25
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