Instructions to use SHENMU007/neunit_BASE_V11.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V11.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V11.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V11.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V11.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83a54c488d1bd093081aa96a5e1de1ad4ca0157ba7ef9c2805bcd49bdbdfedd6
- Size of remote file:
- 4.16 kB
- SHA256:
- f3c5548d88d87b941766b405a478a1210d5c99e3a5c9127418de614a50253096
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