Instructions to use SHENMU007/neunit_BASE_V9.5.17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V9.5.17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V9.5.17")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V9.5.17") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V9.5.17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7013b1e400b700ae405256659985699501a783e1504bc1e3a8a488c50bf08f3
- Size of remote file:
- 578 MB
- SHA256:
- 37416dfd74d710f6bbc09652333748ba6639ba6d5648648d0b12e6f83a59e554
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