Instructions to use Atomic-Germ/Gemma4-E2B-IT-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atomic-Germ/Gemma4-E2B-IT-NPU2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Atomic-Germ/Gemma4-E2B-IT-NPU2") model = AutoModelForMultimodalLM.from_pretrained("Atomic-Germ/Gemma4-E2B-IT-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56f36ff8463a41c7c409f861fab05e599cc924e872c40582ca0f1ca192bfaa00
- Size of remote file:
- 337 MB
- SHA256:
- 40afff1f6328316add06a1b890f7835f8df246efdebbea84d84ebf513e1c3de6
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