Instructions to use declare-lab/tango-music-af-ft-mc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/tango-music-af-ft-mc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="declare-lab/tango-music-af-ft-mc")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("declare-lab/tango-music-af-ft-mc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a9c92963a8cf6e53b6068ec30c5bb991df93a5728e01f35361be8f47e72412d
- Size of remote file:
- 443 MB
- SHA256:
- 2c068ef545f11557271908557c3edf0dba6dfe87ddb37b7f5014f8bf87c43cfa
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