Instructions to use coconut29/LyriCAR-SD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coconut29/LyriCAR-SD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="coconut29/LyriCAR-SD")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("coconut29/LyriCAR-SD", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update model card: Correct pipeline tag, add paper and code links
#1
by nielsr HF Staff - opened
This PR improves the model card for LyriCAR-SD by:
- Correcting the
pipeline_tagfromtext-to-audiototranslation, which accurately reflects the model's functionality as a lyric translation model. This ensures the model is correctly categorized on the Hub. - Adding the official paper link to the model card content.
- Adding a direct link to the GitHub repository in the model card content for easier access to the code.