Instructions to use rayruiyang/GeoUG-ColdStart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Bagel
How to use rayruiyang/GeoUG-ColdStart with Bagel:
# 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 transform_config.yaml from rayruiyang/GeoUG-ColdStart: direct link, hf CLI and curl.
- Browser
- Download file 491 Bytes
-
https://huggingface.co/rayruiyang/GeoUG-ColdStart/resolve/main/transform_config.yaml
- Command line
-
hf download hf://rayruiyang/GeoUG-ColdStart/transform_config.yaml
-
curl -L -o transform_config.yaml https://huggingface.co/rayruiyang/GeoUG-ColdStart/resolve/main/transform_config.yaml
491 Bytes
| image_transform_args: | |
| image_stride: 16 | |
| max_image_size: 1024 | |
| min_image_size: 512 | |
| depth_transform_args: | |
| image_stride: 16 | |
| max_image_size: 1024 | |
| min_image_size: 512 | |
| kitti_bm_crop: true | |
| depth_normalization: | |
| type: 'multiscale_disparity_transform' | |
| c: [2.0, 8.0, 32.0] | |
| vit_image_gen_transform_args: | |
| image_stride: 14 | |
| max_image_size: 518 | |
| min_image_size: 224 | |
| vit_image_transform_args: | |
| image_stride: 14 | |
| max_image_size: 980 | |
| min_image_size: 378 | |
| max_pixels: 2_007_040 | |