Instructions to use google/gemma-4-E4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E4B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-E4B") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-E4B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc2de62880d04a6309ac442aa3f221fafb1f3a6429fb95ce8639dbdb208a8c5a
- Size of remote file:
- 16 GB
- SHA256:
- 43fb96cec3045b72852c787540300dc5b258634b7a025f7c80355ac0788b9651
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