Instructions to use SHENMU007/neunit_BASE_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V3")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V3") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67426b912fb1b045f7da55e7dbe8489dc6997cc3450c69c0c8826d2b41b3d1e5
- Size of remote file:
- 585 MB
- SHA256:
- cefa494c046a9fd42663aa1892b777c671eca5523420800e805a580fdddc07c6
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