Instructions to use PrunaAI/ByteDance-Seed-Stable-DiffCoder-8B-Instruct-HQQ-8bit-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-8bit-smashed with Pruna AI:
from pruna import PrunaModel model = PrunaModel.from_pretrained("PrunaAI/ByteDance-Seed-Stable-DiffCoder-8B-Instruct-HQQ-8bit-smashed") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- cd14259549dc8a75936b4a05d3463dc7458b49aec316044ac89b2182eae0401c
- Size of remote file:
- 489 kB
- SHA256:
- e685ae8397a2a718e10e56d5f0b608398bd5674d2bff527a2f224592a2016f2c
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