Instructions to use SHENMU007/neunit_BASE_V9.5.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V9.5.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V9.5.2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V9.5.2") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V9.5.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a0d3ffff9cfc61afa3852ea8bd66af5f49b334cc0f351ab00223211d749fec5
- Size of remote file:
- 4.16 kB
- SHA256:
- 63d851f6a510264a8f29ab541c0bdede0ea8051fd8453987941d7283be748b83
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