Instructions to use SHENMU007/neunit_BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a480f6fad2f5e534c80b1141cb190eeda35de9381e72c553fb8d1efca3b8e84f
- Size of remote file:
- 4.09 kB
- SHA256:
- f5bf08aae7a83090ee6dbf6bde8b13c97954a7933059499444e963988fee6b58
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