Instructions to use FastFlowLM/Gemma4-E2B-IT-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FastFlowLM/Gemma4-E2B-IT-NPU2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("FastFlowLM/Gemma4-E2B-IT-NPU2") model = AutoModelForMultimodalLM.from_pretrained("FastFlowLM/Gemma4-E2B-IT-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Create README.md 79501b0 verified
feat: Q8_0 embedding ee87f8e
ngdxzy commited on
feat: add audio weights 1a1ce90
ngdxzy commited on
Update config.json (#1) f110044
Update config.json c3f1724 verified
feat: init_commit 41384a2
ngdxzy commited on