Instructions to use nineninesix/kani-tts-400m-0.3-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nineninesix/kani-tts-400m-0.3-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nineninesix/kani-tts-400m-0.3-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nineninesix/kani-tts-400m-0.3-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2920de547c9272f91274cdad05d7e2eb4b1408e16e867c82e828a6c674dd77a4
- Size of remote file:
- 740 MB
- SHA256:
- 93b4b2058b3b9977676ec019b7fea0ef3642d0f33bf5a0caba5d8894f46067e8
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