Instructions to use RaushanTurganbay/kimi2.7-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaushanTurganbay/kimi2.7-processor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaushanTurganbay/kimi2.7-processor", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16f233c9000e12898ef9ebd036ef550b9ba3ab6119ba5ce7e9a8d4f74c709ab8
- Size of remote file:
- 19.6 MB
- SHA256:
- ade2b06256c2d4cd7f1e54463110ae604c87e374a17bebdeeee7a927d827f4fd
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