Instructions to use alexis779/so100_cube_rectangle_day_reward_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use alexis779/so100_cube_rectangle_day_reward_classifier with LeRobot:
# 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 classifier_preprocessor.json from alexis779/so100_cube_rectangle_day_reward_classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.11 kB
-
https://huggingface.co/alexis779/so100_cube_rectangle_day_reward_classifier/resolve/main/classifier_preprocessor.json
- Command line
-
hf download hf://alexis779/so100_cube_rectangle_day_reward_classifier/classifier_preprocessor.json
-
curl -L -o classifier_preprocessor.json https://huggingface.co/alexis779/so100_cube_rectangle_day_reward_classifier/resolve/main/classifier_preprocessor.json
1.11 kB
| { | |
| "name": "classifier_preprocessor", | |
| "steps": [ | |
| { | |
| "registry_name": "normalizer_processor", | |
| "config": { | |
| "eps": 1e-08, | |
| "features": { | |
| "observation.images.side": { | |
| "type": "VISUAL", | |
| "shape": [ | |
| 3, | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "observation.images.wrist": { | |
| "type": "VISUAL", | |
| "shape": [ | |
| 3, | |
| 128, | |
| 128 | |
| ] | |
| } | |
| }, | |
| "norm_map": { | |
| "VISUAL": "MEAN_STD" | |
| } | |
| }, | |
| "state_file": "classifier_preprocessor_step_0_normalizer_processor.safetensors" | |
| }, | |
| { | |
| "registry_name": "normalizer_processor", | |
| "config": { | |
| "eps": 1e-08, | |
| "features": {}, | |
| "norm_map": { | |
| "VISUAL": "MEAN_STD" | |
| } | |
| }, | |
| "state_file": "classifier_preprocessor_step_1_normalizer_processor.safetensors" | |
| }, | |
| { | |
| "registry_name": "device_processor", | |
| "config": { | |
| "device": "cpu", | |
| "float_dtype": null | |
| } | |
| } | |
| ] | |
| } |