Instructions to use google/gemma-4-12B-it-qat-w4a16-ct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it-qat-w4a16-ct with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it-qat-w4a16-ct") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-12B-it-qat-w4a16-ct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0c81dbf348a51a5995c7e0321239169692c34258138ee0d620952a6ee407e13
- Size of remote file:
- 10.3 GB
- SHA256:
- 60b6e3989502969d8ae04185d72ecbbc7db63978d5af747a493d53895aa6bfa3
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