How to use ghanaopenai/ghana-voice_asante_twi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ghanaopenai/ghana-voice_asante_twi")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ghanaopenai/ghana-voice_asante_twi") model = AutoModelForCausalLM.from_pretrained("ghanaopenai/ghana-voice_asante_twi", device_map="auto")
How to use ghanaopenai/ghana-voice_asante_twi with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ghanaopenai/ghana-voice_asante_twi:Q4_K_M # Run inference directly in the terminal: llama cli -hf ghanaopenai/ghana-voice_asante_twi:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ghanaopenai/ghana-voice_asante_twi:Q4_K_M # Run inference directly in the terminal: llama cli -hf ghanaopenai/ghana-voice_asante_twi:Q4_K_M
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 ghanaopenai/ghana-voice_asante_twi:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf ghanaopenai/ghana-voice_asante_twi:Q4_K_M
docker model run hf.co/ghanaopenai/ghana-voice_asante_twi:Q4_K_M
How to use ghanaopenai/ghana-voice_asante_twi with Ollama:
ollama run hf.co/ghanaopenai/ghana-voice_asante_twi:Q4_K_M
How to use ghanaopenai/ghana-voice_asante_twi with Docker Model Runner:
How to use ghanaopenai/ghana-voice_asante_twi with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ghanaopenai/ghana-voice_asante_twi:Q4_K_M
lemonade run user.ghana-voice_asante_twi-Q4_K_M
lemonade list
