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
Download checkpoint.npy from google/tapnet: direct link, hf CLI and curl.
- Browser
- Download file 33.5 MB
-
https://huggingface.co/google/tapnet/resolve/main/checkpoint.npy
- Command line
-
hf download hf://google/tapnet/checkpoint.npy
-
curl -L -o checkpoint.npy https://huggingface.co/google/tapnet/resolve/main/checkpoint.npy
33.5 MB
- Xet hash:
- df3f6ed62dc97da5dace3c8bfd18939cf4e415e26ff2125a14c4f9cc94e48b9e
- Size of remote file:
- 33.5 MB
- SHA256:
- 9ed157638d90d5e8b9b3338dca7f7d63c4660eafd96e42a8681fa7ebab386c31
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