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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
Add modality maturity index (MMI) results in .eval_results/
#57
by dieuwkehupkes - opened
Add results for the modality maturity index (MMI, https://arxiv.org/pdf/2608.26317) so that they appear on the HF leaderboard (https://huggingface.co/datasets/facebook/mmi).