Instructions to use Atomic-Germ/Gemma4-E4B-IT-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atomic-Germ/Gemma4-E4B-IT-NPU2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Atomic-Germ/Gemma4-E4B-IT-NPU2") model = AutoModelForMultimodalLM.from_pretrained("Atomic-Germ/Gemma4-E4B-IT-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 366e484bb9b24eedb0c577b8ea6c99c917bb15975d2bdb07f0a493bed470bfeb
- Size of remote file:
- 956 MB
- SHA256:
- 944fbd6cca496801437df8f98ed4c592f6a3b9b1d097d95b0723b218d4e27c47
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