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
neunit_BASE_V10.12 / runs /Jun29_17-48-10_VM-16-10-tencentos /events.out.tfevents.1688032097.VM-16-10-tencentos
- Xet hash:
- 224ecb88476c303c6c03d619848c04617490207538d5b98dd4ceebe7fb3ee42f
- Size of remote file:
- 6.85 kB
- SHA256:
- ab65808c552a9eafb172f59aaa7a4ec5c29a8b79f9410f7772e1d1becb245a1f
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