Instructions to use google/gemma-4-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-12B") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-12B") - Notebooks
- Google Colab
- Kaggle
Add Vaani-Benchmark-V1.0 eval results
#11
by PranavdbhatArtpark - opened
.eval_results/ARTPARK-IISc-Vaani-Benchmark-V1-0.yaml
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- dataset:
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id: ARTPARK-IISc/Vaani-Benchmark-V1.0
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task_id: Hindi_WER
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date: '2026-06-26'
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value: 24.6
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