Instructions to use nmcco/17-gemma3-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmcco/17-gemma3-1b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nmcco/17-gemma3-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84353b7423e9828c12a4c4967b67e3af86f3d24add30826f24cc897867a8edb0
- Size of remote file:
- 33.4 MB
- SHA256:
- 016d1ad1755003355686ebb5fd7bf73d6ae7559ad1d5092fb2753e27a6a139d5
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