Instructions to use SHENMU007/neunit_BASE_V10.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.5")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.5") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcfb6ad4e0de9e29d2db3012bc2c0adfbf39b124fa00f7d2a37613f07e1bf3d1
- Size of remote file:
- 585 MB
- SHA256:
- 62d60281b66e4fee3eb7fc23aafd800798636172c36f8517c8d4337bfdc5af2a
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