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:
- c020442aeae482bdafe2352d0ba3b45909e9e4b2fc04e70c7ba0d5c31d13ad0b
- Size of remote file:
- 578 MB
- SHA256:
- 195ca3ab68d877fb8b6dae6ba22c5ae6fb664f2b7066dbd51b417c1ade7d8b92
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