Instructions to use alternis/gemma-interLeaved5e-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alternis/gemma-interLeaved5e-6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alternis/gemma-interLeaved5e-6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef1a1807d8abc6a40697a6571874fb61c7e4a03095b36079bb958aa82dac0c4
- Size of remote file:
- 6.23 kB
- SHA256:
- 9e6273228b9c235c54953db5f9a2c552bc0b5bbbe20d6fe569cde67e4bd798b0
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