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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ada1ed5e8dc5844b6181fffebda5e33a343445208f25ce0be8458dd2a26fcb1f
- Size of remote file:
- 945 Bytes
- SHA256:
- 252307f6e96381349cc956062e40b5b34048fe07e53f8f97454a98df8d79b4ee
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