Instructions to use jartine/gemma-2-27b-it-llamafile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jartine/gemma-2-27b-it-llamafile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jartine/gemma-2-27b-it-llamafile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c8eb8f16a1d023c18ad66569ab57055fc720e1f72a50690369b4cdf049f02f4
- Size of remote file:
- 50 GB
- SHA256:
- 403dc68db279a254dccfde470c7ab658deb6428de420c2a929d98a2a785d8942
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.