Instructions to use Bingsu/speecht5_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bingsu/speecht5_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Bingsu/speecht5_test")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Bingsu/speecht5_test") model = AutoModelForTextToSpectrogram.from_pretrained("Bingsu/speecht5_test") - 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:b8c0b690af3cbe0875ae981feafa05db5294d4252fe8e18a5b2d69d0832a0b84
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size 72204304
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