Instructions to use mlx-community/Soprano-1.1-80M-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Soprano-1.1-80M-5bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Soprano-1.1-80M-5bit mlx-community/Soprano-1.1-80M-5bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
mlx-community/Soprano-1.1-80M-5bit
This model was converted to MLX format from mlx-community/Soprano-1.1-80M-bf16 using mlx-audio version 0.3.1.
Refer to the original model card for more details on the model.
Use with mlx-audio
pip install -U mlx-audio
CLI Example:
python -m mlx_audio.tts.generate --model mlx-community/Soprano-1.1-80M-5bit --text "Hello, this is a test."
Python Example:
from mlx_audio.tts.utils import load_model
from mlx_audio.tts.generate import generate_audio
model = load_model("mlx-community/Soprano-1.1-80M-5bit")
generate_audio(
model=model,
text="Hello, this is a test.",
ref_audio="path_to_audio.wav",
file_prefix="test_audio",
)
- Downloads last month
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Model size
21M params
Tensor type
F32
路
U32 路
BF16 路
Hardware compatibility
Log In to add your hardware
5-bit
Model tree for mlx-community/Soprano-1.1-80M-5bit
Base model
ekwek/Soprano-1.1-80M