Transformers
Safetensors
Korean
English
nuclear
domain-adaptation
continual-pretraining
instruction-tuning
AtomicGPT
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:
- 9e0270632afec13785f7f98a97f35081d2d83393105ab07f80f8e352d2132c4f
- Size of remote file:
- 2 GB
- SHA256:
- 60f425e8ffb00a033d8350b27d020d83f2d116e76da2ad8d2d8e005e22f1f271
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