Instructions to use SHENMU007/neunit_BASE_V13.5.10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V13.5.10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V13.5.10")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V13.5.10") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V13.5.10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14d048b3fe6b18eb21212c5c50b4149b5c0f6532cc60e6071b79f803d77ec7bc
- Size of remote file:
- 578 MB
- SHA256:
- 5742a960ef90190bdf65455cbc7b52557ab05905fe166940f87d7b3203499524
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