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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29d6236627e07ba5aee7a19fb875742cd67e96938aacb951b0fd9a16ddcd4163
- Size of remote file:
- 2.53 GB
- SHA256:
- cb96a43444ccb4fbdb25d800b88c7ba196179a526e78f01b021a16b1c1eff6da
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