Instructions to use Hugging-GK/stack_exp_ch_gemma_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hugging-GK/stack_exp_ch_gemma_base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hugging-GK/stack_exp_ch_gemma_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
38940a2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1aea5392126810dfc84b61c5966397fd2ab8575f86954fa28e74b6ba77534071
size 664630664
|