Instructions to use SHENMU007/neunit_BASE_V10.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.9")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.9") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.9") - Notebooks
- Google Colab
- Kaggle
neunit_BASE_V10.9 / runs /Jun27_23-29-16_VM-16-10-tencentos /1687879763.0495546 /events.out.tfevents.1687879763.VM-16-10-tencentos
- Xet hash:
- 816aab1e3a87ac54e63a7eed92b3d1d284222df9dd4cb9f4a4aadc3b5a6fcb4b
- Size of remote file:
- 5.89 kB
- SHA256:
- 434399c82baeea6b5c3b500726fdc98d97b101c212e94be3ed7b6bcbab207439
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