Instructions to use nmcco/16_gemma_flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmcco/16_gemma_flash with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nmcco/16_gemma_flash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cd1eefd21def4f6f71f3996a02457466a93fc7e55d18f1d1eb175534831a045
- Size of remote file:
- 6.84 kB
- SHA256:
- 683ef07dce66b48e0b8d205f9148922a27e23bdf6413c96992b37fbb4b529d23
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