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:
- 4cf391806739c37bf845c828bec0eb846b3f264f5e420f65846d66cdb4382b96
- Size of remote file:
- 2 GB
- SHA256:
- 67f562a5e32e23d50f3392257f4ae43a406c4dcf3330b0ecb4c44e93cf54c25f
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