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:
- 9d708f611e24614f6524e2d2a8b0b9c9c0d9a4252d769efb67f0798a060c2f88
- Size of remote file:
- 16.9 GB
- SHA256:
- e48478586175547f028cca1ba0db5029d9aec2e76f049266ecc0cc2a8a4c487e
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