Instructions to use SHENMU007/neunit_BASE_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V3")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V3") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V3") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
0ccb22c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:78693c3ddc807337d59bf21e6382bf697ad71a66809d5236ca40129ca65aa47d
size 4091
|