Instructions to use tobrun/gemma3-27b-LoRA-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tobrun/gemma3-27b-LoRA-reasoning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tobrun/gemma3-27b-LoRA-reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceb4ef16152c778a7f757c7f8164d77547164a31e78448538ad79364a44288d3
- Size of remote file:
- 5.94 kB
- SHA256:
- a07d1cf90456109b057bfe3af2cc22c03242528228101bf14166cd89278607c0
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