Instructions to use fwtan/gemma-2b-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwtan/gemma-2b-converted with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwtan/gemma-2b-converted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da714c3a0b5c7a000a753393624ed9992923d7352031dec28288a09499cd3cff
- Size of remote file:
- 1.21 kB
- SHA256:
- 7a9117d57ec28283afa076f2d25fea39db0dd7ce9b266900aeb2786a16e5f567
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