Text-to-Speech
Safetensors
MLX
English
mlx-audio
pocket_tts
speech
speech generation
voice cloning
tts
4-bit precision
Instructions to use PixelNavigation/pocket-tts-4bit-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PixelNavigation/pocket-tts-4bit-optimized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download PixelNavigation/pocket-tts-4bit-optimized --local-dir pocket-tts-4bit-optimized
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
|
Download README.md from PixelNavigation/pocket-tts-4bit-optimized: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/PixelNavigation/pocket-tts-4bit-optimized/resolve/main/README.md
- Command line
-
hf download hf://PixelNavigation/pocket-tts-4bit-optimized/README.md
-
curl -L -o README.md https://huggingface.co/PixelNavigation/pocket-tts-4bit-optimized/resolve/main/README.md
1.02 kB
metadata
license: cc-by-4.0
language:
- en
base_model:
- kyutai/pocket-tts
tags:
- mlx
- text-to-speech
- speech
- speech generation
- voice cloning
- tts
- mlx-audio
library_name: mlx-audio
mlx-community/pocket-tts-4bit
This model was converted to MLX format from mlx-community/pocket-tts using mlx-audio version 0.3.0rc1.
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/pocket-tts-4bit --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/pocket-tts-4bit")
generate_audio(
model=model,
text="Hello, this is a test.",
ref_audio="path_to_audio.wav",
file_prefix="test_audio",
)