Instructions to use KAERI-MLP/AtomicGPT-gemma2-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KAERI-MLP/AtomicGPT-gemma2-9B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KAERI-MLP/AtomicGPT-gemma2-9B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b3c0eae7de1f76b857d09b35c914c118c1951a0742fdea056c14d71cdc3a003
- Size of remote file:
- 1.97 GB
- SHA256:
- 986b7f0210331901ecda0c9fc748a19abf37c8f5c5e2837aab061fcd6ca7d634
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