Instructions to use DenisU/RusTTSHW5-big with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DenisU/RusTTSHW5-big with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="DenisU/RusTTSHW5-big")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("DenisU/RusTTSHW5-big") model = AutoModelForTextToSpectrogram.from_pretrained("DenisU/RusTTSHW5-big", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fd6771d27f89b0cf303f02544565e4fdb91dd00724af3da4e3a04aeffa6ee95
- Size of remote file:
- 5.11 kB
- SHA256:
- 26c2d09f7d87c2db829080f9f5aa8cf3a39eede12c643f399e4299a8ae25ceac
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