Instructions to use lab-ii/gemma-4b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lab-ii/gemma-4b-instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lab-ii/gemma-4b-instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82bddd971ba6b97c318074c29a4a9a3e1310fa2433294f956e85933c27d3a59
- Size of remote file:
- 5.84 kB
- SHA256:
- 42e43196d3c74e0e3a0469e017b5e46fefc616fdb43d58e6f259d9b6c8e560e7
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