Instructions to use Aratako/MioTTS-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aratako/MioTTS-2.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Aratako/MioTTS-2.6B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Aratako/MioTTS-2.6B") model = AutoModelForCausalLM.from_pretrained("Aratako/MioTTS-2.6B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Aratako/MioTTS-2.6B: direct link, hf CLI and curl.
- Browser
- Download file 2.35 MB
-
https://huggingface.co/Aratako/MioTTS-2.6B/resolve/main/tokenizer_config.json
- Command line
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hf download hf://Aratako/MioTTS-2.6B/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/Aratako/MioTTS-2.6B/resolve/main/tokenizer_config.json
2.35 MB
File too large to display, you can check the raw version instead.