Instructions to use mindw96/Gemma-2-27b-it-4Bit-DACON-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mindw96/Gemma-2-27b-it-4Bit-DACON-LLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mindw96/Gemma-2-27b-it-4Bit-DACON-LLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e91bec779e509e1ade505557ba388dd2fa8c20c852e486e0d0d69e4830af62a
- Size of remote file:
- 5.62 kB
- SHA256:
- f5bb47760c96958e7d45b579452b09392a3e3b73965cc793eae80c330a92a50c
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