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") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425_base")
model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425_base")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425_base")