Instructions to use SHENMU007/neunit_BASE_V5.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V5.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V5.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V5.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V5.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be4e5a6bec307e10d0e3b3daad69dc23dbae6e77a1dcaf83fd7682550e906e8
- Size of remote file:
- 4.09 kB
- SHA256:
- 3d5cef733f4fe832c9ad188380aaa2c9209d543c0b5eb2bd7a2c80eab741dcd0
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