Instructions to use SHENMU007/neunit_BASE_V9.6.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V9.6.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V9.6.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V9.6.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V9.6.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd120c3f84db97612461586500a1eb663a39963c9ca7df33c99a612b0582c855
- Size of remote file:
- 4.28 kB
- SHA256:
- 655b1887241fb186a119cf31a3ac39fdd9cc6cd3ab3d70b016b2693380967bf1
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