Robotics
TensorRT
ONNX
autoware
autonomous-driving
camera
multi-view
bird-eye-view
multi-task
e2e
planning
3d-object-detection
semantic-segmentation
depth-estimation
jetson-orin
meteor
Instructions to use AutowareFoundation/meteor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use AutowareFoundation/meteor with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download lift_plugin_tables_r64/pair_fr.bin from AutowareFoundation/meteor: direct link, hf CLI and curl.
- Browser
- Download file 180 kB
-
https://huggingface.co/AutowareFoundation/meteor/resolve/main/lift_plugin_tables_r64/pair_fr.bin
- Command line
-
hf download hf://AutowareFoundation/meteor/lift_plugin_tables_r64/pair_fr.bin
-
curl -L -o pair_fr.bin https://huggingface.co/AutowareFoundation/meteor/resolve/main/lift_plugin_tables_r64/pair_fr.bin
180 kB
- Xet hash:
- abbe9a89c73e5136a4c4788374844c474da200d546fc657df50dec1b377f2121
- Size of remote file:
- 180 kB
- SHA256:
- 70108e4dc68031458c97bd1cf3f2b14dc182daad1aed0531300afb194f783b04
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