Instructions to use google/gemma-4-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E2B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E2B") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a6a1cea4cf6c7f64ae8cf79183b75d025dc5b9368d1f0e549e5fcd9d2c318f3
- Size of remote file:
- 32.2 MB
- SHA256:
- b6f9cb1153f49bc7e0c148d0c1766017aed9512f45eb33afeeb71565d29c938b
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