Instructions to use SHENMU007/neunit0425_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit0425_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425_base")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425_base") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
37731dd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2bf190d0f3299701910dff1683b4e21fb0255cc7182bd8da3fd954fd9eec8a60
size 4091
|