Instructions to use Factiverse/gemma-2b-it-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Factiverse/gemma-2b-it-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Factiverse/gemma-2b-it-sft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52678881704aa09b6b28da48dda97c256cbecc85044b6827209ea26b5581af1b
- Size of remote file:
- 6.29 kB
- SHA256:
- c2044cf14c386a6d7f0db137e1093edb95d9dd88d5946b19378ecde253d69f49
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