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:
- 995e4fbffbb9eebd186cd702cedbc2a63c1b268037b50c69254320ecaffadc70
- Size of remote file:
- 23.9 GB
- SHA256:
- 5a84cb313260ac447237b890387116dfa8682e49a6b44bc585ae8353abbff18d
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