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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
fix max_position_embeddings 128Ki --> 256Ki
#11
by ddh0 - opened
- model.safetensors +1 -1
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 23919549408
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version https://git-lfs.github.com/spec/v1
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oid sha256:366b79fc7e2ea81106d45e2b3ca10e144925f93dd9d456396692825ddb7bb788
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size 23919549408
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