Instructions to use shibatch/tinygemma3-2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shibatch/tinygemma3-2m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shibatch/tinygemma3-2m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41673789019f601e3f55b1478bd35def6356b90200fd9bac92842d1a9af8ab4e
- Size of remote file:
- 195 kB
- SHA256:
- f21db7a5f75e39b8db16b83937d01fe6ef3e8c888a06fcfdc0aaca8bb0e242e2
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