Instructions to use AXERA-TECH/gemma-4-E2B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/gemma-4-E2B-it with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/gemma-4-E2B-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 0475b9fce2a7844ce647fb7637e42a8735901415b1d09d30cce7b7e06ffbaad0
- Size of remote file:
- 905 kB
- SHA256:
- ff6e6e7c0b0e794380f7a3243e9d4ede5bc5bba2d921b232cbb3b01e32b0c9b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.