Instructions to use Zineddinetranslate/gemma-fr-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zineddinetranslate/gemma-fr-ar with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Zineddinetranslate/gemma-fr-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7af0e16f0d848653631274b30a89fcd75fd1adc25fe676723be948f86fb30dc7
- Size of remote file:
- 3.7 MB
- SHA256:
- ee4b7459e6386792dcd29c0129bf7ec04fc26fb8de6443a627ee01a428a0f26a
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