Instructions to use google/tapnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapnet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/tapnet", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81904a5d031b890991f9a5c2327c1b9922fc11928712f6afb9e0d61902e85d9
- Size of remote file:
- 978 MB
- SHA256:
- 425eeff19437554a74742e1a9e1077dd1059248ecdd77a84c689ea2847fa80a4
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