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
- Xet hash:
- 33081fb51eb90fef906bbb1b5b70c9c44fbc9e59f5bebb47945ea429a8649749
- Size of remote file:
- 665 MB
- SHA256:
- 1aea5392126810dfc84b61c5966397fd2ab8575f86954fa28e74b6ba77534071
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