Instructions to use agentory/kitten-tts-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use agentory/kitten-tts-2 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 agentory/kitten-tts-2 # Run inference directly in the terminal: llama cli -hf agentory/kitten-tts-2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf agentory/kitten-tts-2 # Run inference directly in the terminal: llama cli -hf agentory/kitten-tts-2
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 agentory/kitten-tts-2 # Run inference directly in the terminal: ./build/bin/llama cli -hf agentory/kitten-tts-2
Use Docker
docker model run hf.co/agentory/kitten-tts-2
- Llama new
- LM Studio
- Jan
- Ollama
How to use agentory/kitten-tts-2 with Ollama:
ollama run hf.co/agentory/kitten-tts-2
- Unsloth Desktop
- Docker Model Runner
How to use agentory/kitten-tts-2 with Docker Model Runner:
docker model run hf.co/agentory/kitten-tts-2
- Lemonade
How to use agentory/kitten-tts-2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull agentory/kitten-tts-2
Run and chat with the model
lemonade run user.kitten-tts-2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download cpp/student_w8/voices.json from agentory/kitten-tts-2: direct link, hf CLI and curl.
- Browser
- Download file 13.5 MB
-
https://huggingface.co/agentory/kitten-tts-2/resolve/main/cpp/student_w8/voices.json
- Command line
-
hf download hf://agentory/kitten-tts-2/cpp/student_w8/voices.json
-
curl -L -o voices.json https://huggingface.co/agentory/kitten-tts-2/resolve/main/cpp/student_w8/voices.json
13.5 MB
- Xet hash:
- c01ce89c68fc7c5dee63b3af9fe853ca85c9b239fc26e77cfa174e38a03614e0
- Size of remote file:
- 13.5 MB
- SHA256:
- 947d3f85da00e6b9f591c456cf5dd14efcb16b2b5cf3418bc6ecc8a540a027b4
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