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
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README.md
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license: apache-2.0
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license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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pipeline_tag: any-to-any
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<div align="center">
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### **Benefits**
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At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
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license: apache-2.0
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license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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pipeline_tag: any-to-any
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base_model:
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- google/gemma-4-E4B
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---
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<div align="center">
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### **Benefits**
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At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
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