Instructions to use SHENMU007/neunit_BASE_V10.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.9")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.9") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.9") - Notebooks
- Google Colab
- Kaggle
neunit_BASE_V10.9 / runs /Jun27_23-29-16_VM-16-10-tencentos /events.out.tfevents.1687879763.VM-16-10-tencentos
- Xet hash:
- 1f42c6e6bb87049c15d2ceb197b3c302a4b0286bd7a093473d771d6370c1b8f9
- Size of remote file:
- 6.84 kB
- SHA256:
- 0d134fef1c173ddfc27cbaf63b5bf5cb344c5a2539fd8a3de51bb49fe27fe41c
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