Instructions to use SHENMU007/neunit_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_test")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_test") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d1c2c2bbd2cbade46d9c673c91c6e1d236c2b77f7ddef06eb6bd74d65d2c4ba
- Size of remote file:
- 585 MB
- SHA256:
- aeec5a822e303739863fba1dff017e39c36b0898b74878603fab2046fd661bb8
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