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:
- 8b89f6f0bda405edadf00acfa426f5fa019983b782453abd9ccc4cd4f090599a
- Size of remote file:
- 585 MB
- SHA256:
- 0438b9b761b9c0cf45d35c87bddba8d828c1ef5846cf8cd7eb3a0747c26f4861
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