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:
- 3710dcbad9cd8d4eb57a3d49b43743ec518e5d85e290fb8736da0f03b6effa45
- Size of remote file:
- 956 MB
- SHA256:
- 9b943744723fb611adb54c2d4e74f3c0ccaf763d8cec0f2156903c91a5dc1d65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.