Instructions to use SHENMU007/neunit0425 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit0425 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fda97a9c52cd37d7496645a55a0fb61885b42e3b86bbe7bafcb7e3fb2b29c97
- Size of remote file:
- 4.09 kB
- SHA256:
- e25266355bd4e5800b3d22c13e838d02cc82bbe6fd668fc704868212f402eb85
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