Instructions to use pkkidking/functiongemma-tablet-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pkkidking/functiongemma-tablet-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pkkidking/functiongemma-tablet-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3f6b8e2c55a57217a6f52ca3d1b18ba55b892111c045934db95dd03120dbbc9
- Size of remote file:
- 33.4 MB
- SHA256:
- b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.