Instructions to use JacobLinCool/RhythmGenGRU-1-hard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacobLinCool/RhythmGenGRU-1-hard with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JacobLinCool/RhythmGenGRU-1-hard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e16d76c176b689cb730c4dbaaffa47c114a1ff2eb4155b0cd5583e258ae1372
- Size of remote file:
- 1.85 MB
- SHA256:
- 9a55a5e775e9596006c488c60f158262b8f1aba35751a1369672e03629262b3a
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