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:
- 215c6d6c90ea315850f2120e86340cad0247eaa37c64d6dfc696c53232df7170
- Size of remote file:
- 686 Bytes
- SHA256:
- 912e9f68e531b75b85e102a8d4f63abb591e52fccd5a072fe7e27ab0036ef7a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.