Instructions to use google/gemma-4-E2B-it-qat-q4_0-unquantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E2B-it-qat-q4_0-unquantized with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E2B-it-qat-q4_0-unquantized") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E2B-it-qat-q4_0-unquantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37b27c901f7018a9b73200847b68459f15fe20d73a94d914e190f2dc5b50dbaf
- Size of remote file:
- 10.2 GB
- SHA256:
- 33fe0cece08fb527ffefbd1a3a9ce73bd71073727993a283506293e5c6bf0137
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