Instructions to use google/gemma-4-E2B-it-qat-mobile-transformers 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-mobile-transformers with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/gemma-4-E2B-it-qat-mobile-transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a5ab73c3c7839d0f8c226d648afe7f8774e2b1c8f453264876d9b62a1390a52
- Size of remote file:
- 2.46 GB
- SHA256:
- efab429012b97ab986c4d4838a46ff3ad95d618b42ce514771ca40fadc76a9a4
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