Instructions to use Kwaipilot/KwaiCoder-AutoThink-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kwaipilot/KwaiCoder-AutoThink-preview with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kwaipilot/KwaiCoder-AutoThink-preview", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8998eaf365d64996f5a95b7ef9adaa40c131cb2a2c8ef1fa9663e9a66c4b91ee
- Size of remote file:
- 243 Bytes
- SHA256:
- 80b8ec6e7991b64763e4ff29b59a9cd2968b390d0736e0dc586585da04bad013
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