Instructions to use google/gemma-4-12B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
Add AIME 2026 evaluation result
Browse files
.eval_results/aime_2026.yaml
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- dataset:
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id: MathArena/aime_2026
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task_id: MathArena/aime_2026
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value: 77.5
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date: '2026-05-23'
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notes: No tools
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source:
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url: https://huggingface.co/google/gemma-4-12B-it
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name: Model Card
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