Instructions to use SHENMU007/neunit_BASE_V10.12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.12")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.12") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2089f60b4100e6b074e2c7138ded0f07ab8c8d2c44b42a7392022817f388f46f
- Size of remote file:
- 4.16 kB
- SHA256:
- 0ed4c7ddfd40521e7255516090f5df96fb0d9ddf873a0ec3f2b7550e9f264dc0
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