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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update task_id to Hindi_wer, values as percentage
Browse files
.eval_results/ARTPARK-IISc-Vaani-Benchmark-V1-0.yaml
CHANGED
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@@ -1,5 +1,5 @@
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- dataset:
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id: ARTPARK-IISc/Vaani-Benchmark-V1.0
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task_id:
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date: '2026-06-26'
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value:
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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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