Instructions to use SHENMU007/neunit_BASE_V13.5.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V13.5.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V13.5.4")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V13.5.4") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V13.5.4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6308b61c143d6d2a9a536d28ca35be74e09f3ea5e8c9b3cedfb3568964acf182
- Size of remote file:
- 578 MB
- SHA256:
- 40c06d3f212e5dbf888c8cc0f79c2dfca3f71a4fa299012229e6357c1401eaaa
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