Instructions to use SHENMU007/neunit_BASE_V5.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V5.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V5.2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V5.2") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V5.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 444d1e8e5f667faa76db07c0701553cf2c7c562632e030b5cd2a73a0a1913632
- Size of remote file:
- 585 MB
- SHA256:
- 33a63fe475ae7e61a3dbe52452c93a775745e13b938b8e9579b50ab285cb2f24
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