Instructions to use SHENMU007/neunit_BASE_V11.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V11.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V11.2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V11.2") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V11.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c75ceee1b42a70357f54ac5de3bee2e1e16e71a12f0d9136ae03b09f300db461
- Size of remote file:
- 578 MB
- SHA256:
- 0e2822abb277f05670a17a9136d12600cd635d0940b395c401aa56829b7adb09
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