Instructions to use SHENMU007/neunit_BASE_V9.6.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V9.6.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V9.6.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V9.6.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V9.6.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f3e630e4ce7132502d39cc82bd80ae27988817d00303f786213244edeafbb39
- Size of remote file:
- 578 MB
- SHA256:
- ba8f68b1ca323d8803daf05e1966b1d3fb4a7d669fe58ddffbcf5f9ae7714eca
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