Instructions to use google/gemma-4-E4B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E4B-it with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/gemma-4-E4B-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add MMMU-Pro evaluation result
#34
by SaylorTwift HF Staff - opened
YAML Metadata Error:Invalid content in Eval Result file .eval_results/mmmu_pro.yaml
Check out the documentation for more information.
Show details
Task ID "mmmu_pro_vision" does not match any task in dataset "MMMU/MMMU_Pro". Available: none
.eval_results/mmmu_pro.yaml
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- dataset:
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id: MMMU/MMMU_Pro
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task_id: mmmu_pro_vision
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value: 52.6
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date: '2026-05-12'
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source:
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url: https://huggingface.co/google/gemma-4-E4B-it
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name: Model Card
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