Instructions to use metga97/functiongemma-270m-ar-tooluse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use metga97/functiongemma-270m-ar-tooluse with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("metga97/functiongemma-270m-ar-tooluse", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0645eb9b56172ca0880e982edb4275ef41f442ea3a0929d6e48aef7acc2db95a
- Size of remote file:
- 4.69 MB
- SHA256:
- aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.