Instructions to use danielfein/raid-ce-gemma4-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielfein/raid-ce-gemma4-e4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danielfein/raid-ce-gemma4-e4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46a4c74f49344beed5c31abaaaa4d65993867560b426e52fbd4af41ba72df5d1
- Size of remote file:
- 28.8 kB
- SHA256:
- 296ed5aeabf7fba1d68cad93f5510edc3f7bb186a800bc3edcf42f6eb9c0d1c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.