Instructions to use declare-lab/tango-full-ft-audiocaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/tango-full-ft-audiocaps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="declare-lab/tango-full-ft-audiocaps")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("declare-lab/tango-full-ft-audiocaps", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10141fbed4e484d49d7507ee217f6ed3f3fa3501e9ca920c7e12add89ef8f3d1
- Size of remote file:
- 4.83 GB
- SHA256:
- 504d6f148cf732349730b4406ffac59fb9f9f7d89a44f850702ff27c34cb3133
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