Instructions to use SHENMU007/neunit_BASE_V10.14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.14")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.14") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- beac53f06d11be0c9787a8a038f3cb3d125a1e09ccdc9d6d5344cc57c435bd3a
- Size of remote file:
- 585 MB
- SHA256:
- b0bcb561a17aea34a542316b5c49b3740ffba0d5948c659237ee0ead3d20b43f
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