Instructions to use Stopwolf/speecht5_pt_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stopwolf/speecht5_pt_full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Stopwolf/speecht5_pt_full")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Stopwolf/speecht5_pt_full") model = AutoModelForTextToSpectrogram.from_pretrained("Stopwolf/speecht5_pt_full") - 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 sha256:77e5fd827e5f74f0e75d894665fb8a4737e47df91455a0f729025a0e1aea3c49
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size 577789320
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