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
TAPNext pytorch
#2
by alexnasa - opened
some of the available weights on the github repo doesn't seem to have been uploaded here! this one for example https://storage.googleapis.com/dm-tapnet/tapnext/bootstapnext_ckpt.npz wondering if could all of them be uploaded