Instructions to use google/gemma-4-E4B-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-E4B-it-qat-q4_0-unquantized with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E4B-it-qat-q4_0-unquantized") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E4B-it-qat-q4_0-unquantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3361983ffeb6968de44648ea5c06cc39bc4ab4fed85878178bd6cb09358c3006
- Size of remote file:
- 15.9 GB
- SHA256:
- ad8ef515194b15ab13b6f98d54d37652b691c9a2c787cdf7ed5f951f5ed2c7fa
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