Instructions to use SHENMU007/neunit_BASE_V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V4")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V4") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69b266e79a140da077ebb8b3eb9df8eae6f6b5846f4707f3ea6602c88d8cd513
- Size of remote file:
- 4.09 kB
- SHA256:
- afca99491c53370bf14b72d742a8ae1aa1f0c799675a9d198854193d279ca42e
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