Text-to-Speech
Transformers
Safetensors
arktts
feature-extraction
audio
tts
voice-cloning
zero-shot
multilingual
custom_code
Instructions to use Edge0/Audio8-TTS-Preview-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/Audio8-TTS-Preview-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edge0/Audio8-TTS-Preview-0.6b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Edge0/Audio8-TTS-Preview-0.6b", trust_remote_code=True, device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Edge0/Audio8-TTS-Preview-0.6b: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/Edge0/Audio8-TTS-Preview-0.6b/resolve/main/tokenizer.json
- Command line
-
hf download hf://Edge0/Audio8-TTS-Preview-0.6b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Edge0/Audio8-TTS-Preview-0.6b/resolve/main/tokenizer.json
12.2 MB
- Xet hash:
- c28d7f5534b717e8635fa85a8e61338aa53ad786a60a30619046a3c4d4b4df56
- Size of remote file:
- 12.2 MB
- SHA256:
- f24e08099d45a8adf3f52f5f0b03276e433bb9d689bb15fcbcc48ce58744588b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.