Instructions to use Sathvik0101/gemma-3-combat-npc-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sathvik0101/gemma-3-combat-npc-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sathvik0101/gemma-3-combat-npc-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db93c5fcdbae147f762a7f06364a9854b747edb5688a4b82f69738535b503785
- Size of remote file:
- 5.14 kB
- SHA256:
- 07090874d4860777e14153fa90b3dbfec26d702d8a741970fb00706a4cd8f392
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.