Instructions to use adityavipradas/sft_gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityavipradas/sft_gemma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adityavipradas/sft_gemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5633b715539706e764f71541b75b8d9a3fb77893c5624fc748f0ad4973b8b79
- Size of remote file:
- 5.62 kB
- SHA256:
- f79a151b6327956c32fc623508c04ba299ad0efd6257fe998db8f2c25a282d1a
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