Instructions to use SHENMU007/neunit_BASE_V10.19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.19")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.19") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb88364bc46f7fdf75fc016d394ce3fe577f8d18faead098f4c4b23dbf677974
- Size of remote file:
- 578 MB
- SHA256:
- ed0414af22feb713c2fbcc03f0738f900c352fae410be1925b03ac2fa5069370
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