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:
- 73abbfc47d2873c92142ef8b497486fa81bc1fba4765415a4adb14b1d8c4796e
- Size of remote file:
- 1.97 GB
- SHA256:
- 5288e511042a0cf12de508bc52f65d6adff651ab380bcdfa2a6a471fbc475feb
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