Instructions to use google/gemma-4-12B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05dabd1a1f308adbc9e0c69fccae08482dd6fadfd460264957ac44381e76a640
- Size of remote file:
- 23.9 GB
- SHA256:
- 366b79fc7e2ea81106d45e2b3ca10e144925f93dd9d456396692825ddb7bb788
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