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:
- fe4d8e6f55151d944ae180a59aacb2f2b52048419cb513c23ea9e0e55c12449d
- Size of remote file:
- 39.2 MB
- SHA256:
- 38031486f2037b2deb64d237019e52ce7800c14c6cc8301cfe2dd2a70913e380
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