Instructions to use PrunaAI/ByteDance-Seed-Stable-DiffCoder-8B-Instruct-HQQ-4bit-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pruna AI
How to use PrunaAI/ByteDance-Seed-Stable-DiffCoder-8B-Instruct-HQQ-4bit-smashed with Pruna AI:
from pruna import PrunaModel model = PrunaModel.from_pretrained("PrunaAI/ByteDance-Seed-Stable-DiffCoder-8B-Instruct-HQQ-4bit-smashed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f05e1612bc97f9a404121019a6c49b297535f3eea560ff16a888596409e5760
- Size of remote file:
- 6.47 GB
- SHA256:
- 0f2d7dc7ae07f0a518c54b84cb4acf2a0a894d796119ac44a9d0a03099093ef5
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