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:
- 226b15f92793105bf28a95a8687bb3b00bb402a45761e0d882f460b94ae06c14
- Size of remote file:
- 124 MB
- SHA256:
- d258bf117311f6841be60666df465852c5cd8292c7f90bab7338d90a545ad8c0
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