Instructions to use SHENMU007/neunit0425_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit0425_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425_v1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425_v1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5b3df7d4fc08e998832132805de4fadbf4768092c144f758d63cf56bc13706b
- Size of remote file:
- 585 MB
- SHA256:
- 0b94bc1889eac5693539668cc64df2b69783948a9c55845f54f4bd57dce80688
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