Instructions to use diffusion-reasoning/wll_kodcode_lr3e-6_iter5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusion-reasoning/wll_kodcode_lr3e-6_iter5000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusion-reasoning/wll_kodcode_lr3e-6_iter5000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08b408f0eb025ec0f1e877e04b4ee827b9909e8b1a13c9b48d03c358ec2dcc5c
- Size of remote file:
- 336 MB
- SHA256:
- be41cc2d168b2caeb2b12c4207395dcf8c2ab34be2f671c2756151c4d017cf49
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