Text-to-Speech
MLX
Safetensors
Chinese
English
tts
speech
voice-cloning
apple-silicon
quantized
8bit
Instructions to use appautomaton/openmoss-tts-local-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/openmoss-tts-local-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download appautomaton/openmoss-tts-local-mlx --local-dir openmoss-tts-local-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
|
Download README.md from appautomaton/openmoss-tts-local-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.49 kB
-
https://huggingface.co/appautomaton/openmoss-tts-local-mlx/resolve/main/README.md
- Command line
-
hf download hf://appautomaton/openmoss-tts-local-mlx/README.md
-
curl -L -o README.md https://huggingface.co/appautomaton/openmoss-tts-local-mlx/resolve/main/README.md
1.49 kB
metadata
language:
- zh
- en
license: apache-2.0
library_name: mlx
pipeline_tag: text-to-speech
base_model: OpenMOSS-Team/MOSS-TTS-Local-Transformer
base_model_relation: quantized
tags:
- mlx
- tts
- speech
- voice-cloning
- apple-silicon
- quantized
- 8bit
OpenMOSS TTS Local Transformer — MLX 8-bit
MLX-native int8 conversion of OpenMOSS TTS Local Transformer for single-speaker TTS and voice cloning on Apple Silicon.
Variants
| Path | Precision |
|---|---|
mlx-int8/ |
int8 quantized weights |
How to Get Started
Generate speech:
python scripts/generate/moss_local.py \
--text "Hello, this is a test." \
--output outputs/out.wav
Clone a voice:
python scripts/generate/moss_local.py \
--mode clone \
--text "This is a cloned voice." \
--reference-audio reference.wav \
--output outputs/clone.wav
Model Details
- Upstream model:
OpenMOSS-Team/MOSS-TTS-Local-Transformer - Task: single-speaker text-to-speech and voice cloning
- Runtime: MLX on Apple Silicon, W8Abf16 mixed precision with KV cache
Links
- Source code: mlx-speech
- Project page: appautomaton.com/mlx-speech
License
Apache 2.0 — following the upstream license published with OpenMOSS-Team/MOSS-TTS-Local-Transformer.