Instructions to use SHENMU007/neunit_BASE_V5.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V5.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V5.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V5.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V5.1") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
644d76c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3d5cef733f4fe832c9ad188380aaa2c9209d543c0b5eb2bd7a2c80eab741dcd0
size 4091
|