Instructions to use GordonChang/gemma3-12b-it-finetuned-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GordonChang/gemma3-12b-it-finetuned-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GordonChang/gemma3-12b-it-finetuned-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 55f6795a276d4af1c59938b03bd792db530da8f19820a5a6438ca59428ddada7
- Size of remote file:
- 5.69 kB
- SHA256:
- 7e544ae9a3c0133d85b9ed91de39489875c3a4cad2e5a2592707e3e8112dae15
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