Instructions to use Matthijs/vits-vctk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/vits-vctk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Matthijs/vits-vctk")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Matthijs/vits-vctk") model = AutoModelForTextToWaveform.from_pretrained("Matthijs/vits-vctk") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e3b5226a6b5f3457097d6e785e5ad03a22036ee79108cf76129b021f960dfc1
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size 158853760
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