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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/tapnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add TRAJAN Jax checkpoint
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Add BootsTAPIR Jax checkpoint
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Add Online TAPIR Jax checkpoint
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Add TAPIR Jax checkpoint
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Add TAP-Net Jax checkpoint
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Fix project links, add TAP-Net benchmark score
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Fix Quick Start: correct import paths, class names, and install command per actual codebase
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Add missing citations: RoboTAP, TAPVid-3D, TRAJAN
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Fix TAPNext citation: arXiv -> ICCV 2025
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Add TAPNext++ 512x512 checkpoint (Apache 2.0)
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Add TAPNext++ 256x256 checkpoint (Apache 2.0)
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Update Model Card with complete checkpoint listing, license, and usage examples
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Update README.md
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Add model card (#1)
Verified signature- Add model card (8b1c266c3224a27ed2c428d1576413b68445ec03) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>04e0fd5
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upload tapir and bootstapir models
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upload bootstapnext model
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initial commit
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