Instructions to use Aratako/MioTTS-0.4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aratako/MioTTS-0.4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Aratako/MioTTS-0.4B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Aratako/MioTTS-0.4B") model = AutoModelForCausalLM.from_pretrained("Aratako/MioTTS-0.4B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f23c70ab793d09bcc29add30bd0936b022aa05db4b409ac6030794e415de7b6
- Size of remote file:
- 759 kB
- SHA256:
- 01f6baad852750e284f739527e7021c069a8313c30355d462fa3258397a9cc85
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