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:
- 8a9ad01c1ff28efd1e2ac8c45346b81e19453d6e09b48e906649906f27981629
- Size of remote file:
- 4.09 kB
- SHA256:
- c7c0ff0e8a4e4a058e7e8bb5572a6bb2142c9bd78518f06b02248ea02808336e
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