Instructions to use Kebaso/Gemma-2-2b-it-Rastuc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kebaso/Gemma-2-2b-it-Rastuc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kebaso/Gemma-2-2b-it-Rastuc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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