Text-to-Speech
Transformers
Safetensors
arktts
feature-extraction
audio
tts
voice-cloning
zero-shot
multilingual
custom_code
Instructions to use Edge0/Audio8-TTS-Preview-0.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/Audio8-TTS-Preview-0.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edge0/Audio8-TTS-Preview-0.1b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Edge0/Audio8-TTS-Preview-0.1b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Edge0/Audio8-TTS-Preview-0.1b: direct link, hf CLI and curl.
- Browser
- Download file 5.85 MB
-
https://huggingface.co/Edge0/Audio8-TTS-Preview-0.1b/resolve/main/tokenizer.json
- Command line
-
hf download hf://Edge0/Audio8-TTS-Preview-0.1b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Edge0/Audio8-TTS-Preview-0.1b/resolve/main/tokenizer.json
5.85 MB
File too large to display, you can check the raw version instead.