Instructions to use facebook/KernelLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/KernelLLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("facebook/KernelLLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ebb4bd01a81b8d7b5ebda6ccf8064da54b50c9343d860d9f405cc4627a6329c0
- Size of remote file:
- 328 kB
- SHA256:
- 61335af40dfac3eca88d49494f56df740e83d04acc28d11368728bf4a2280de9
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