Instructions to use versae/nb-nst-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/nb-nst-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="versae/nb-nst-tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("versae/nb-nst-tts") model = AutoModelForTextToSpectrogram.from_pretrained("versae/nb-nst-tts") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:468dfeff4268cc55bf0e2b36b4635fda67ed8275394f8dd5c927ac24d7846b27
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size 577789320
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