Instructions to use SHENMU007/neunit_BASE_V10.16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.16")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.16") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.16") - Notebooks
- Google Colab
- Kaggle
neunit_BASE_V10.16 / runs /Jun30_08-14-01_VM-16-10-tencentos /events.out.tfevents.1688084048.VM-16-10-tencentos
- Xet hash:
- 6f3f15569d759a665dec0bac9d6a8ce560fd87c59d9010ac753af09424ec2654
- Size of remote file:
- 6.85 kB
- SHA256:
- 8e9fafad081cff3d039f20a4ddb530d5245c2e35d366f25ac381afdecb7366fb
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