Instructions to use DEVECOAI/gemma-3-12b-it-unsloth-bnb-4bit_lr4e-05_r64_rsTrue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DEVECOAI/gemma-3-12b-it-unsloth-bnb-4bit_lr4e-05_r64_rsTrue with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DEVECOAI/gemma-3-12b-it-unsloth-bnb-4bit_lr4e-05_r64_rsTrue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d85ed0b548c40b2622294b4530c1363b374523909ce95bd059b10a940498c985
- Size of remote file:
- 1.1 GB
- SHA256:
- 0fc2faabf7f77b7faafde90bfeaedd4a2e92176308e0cb88ebad0ffea9f16422
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