Instructions to use mlx-community/Llama-OuteTTS-1.0-1B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OuteTTS
How to use mlx-community/Llama-OuteTTS-1.0-1B-fp16 with OuteTTS:
import outetts enum = outetts.Models("mlx-community/Llama-OuteTTS-1.0-1B-fp16".split("/", 1)[1]) # VERSION_1_0_SIZE_1B cfg = outetts.ModelConfig.auto_config(enum, outetts.Backend.HF) tts = outetts.Interface(cfg) speaker = tts.load_default_speaker("EN-FEMALE-1-NEUTRAL") tts.generate( outetts.GenerationConfig( text="Hello there, how are you doing?", speaker=speaker, ) ).save("output.wav") - MLX
How to use mlx-community/Llama-OuteTTS-1.0-1B-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Llama-OuteTTS-1.0-1B-fp16 mlx-community/Llama-OuteTTS-1.0-1B-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
metadata
license: cc-by-nc-sa-4.0
language:
- en
- ar
- zh
- nl
- fr
- de
- it
- ja
- ko
- lt
- ru
- es
- pt
- be
- bn
- ka
- hu
- lv
- fa
- pl
- sw
- ta
- uk
pipeline_tag: text-to-speech
library_name: outetts
tags:
- mlx
mlx-community/Llama-OuteTTS-1.0-1B-fp16
This model was converted to MLX format from OuteAI/Llama-OuteTTS-1.0-1B using mlx-audio version 0.2.2.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-audio
python -m mlx_audio.tts.generate --model mlx-community/Llama-OuteTTS-1.0-1B-fp16 --text "Describe this image."